18.4.3 Super Resolution or Superresolution, General

Chapter Contents (Back)
Super Resolution. Video Sequences. Much of this work involves video sequences, but some is not. See also Registration for Super Resolution. See also Super Resolution for Hyperspectral Data. See also Super Resolution for Light Field Images and Data. See also Generative Adversarial Network, Neural Netowrks for Super Resolution. See also Range Data Super Resolution, Depth Super Resolution. See also Video Image Restoration and Enhancement. See also Video Super-Resolution, Resolution Enhancement. See also Super Resolution Analysis Using Edges, Edge Analysis for Superresolution. See also Document Quality Enhancement, Super Resolution Evaluation. See also Radar Super Resolution.

Super-Resolution Code,
Online2007. Code, Super-Resolution.
HTML Version. Matlab/C code. See also Overcoming Registration Uncertainty in Image Super-Resolution: Maximize or Marginalize?. BibRef 0700

SuperTex136,
2016
WWW Link. Dataset, Superresolution. Refer to: See also Jointly Optimized Regressors for Image Super-resolution.

Stuller, J.A.,
Linear Resolution Enhancement,
CGIP(5), No. 3, September 1976, pp. 291-318.
Elsevier DOI BibRef 7609

Koizumi, H.[Hideaki], Sano, K.[Koichi], Yokoyama, T.[Tetsuo], Sukegawa, K.[Kazuya],
Method and apparatus for reducing image noises,
US_Patent5,113,137, May 12, 1992
WWW Link. multiple images, noise is not correlated between images. BibRef 9205

Ur, H.[Hanoch], Gross, D.[Daniel],
Improved Resolution from Subpixel Shifted Pictures,
GMIP(54), No. 2, March 1992, pp. 181-186. BibRef 9203
And: Addenda: GMIP(54), No. 4, July 1992, pp. 365-yy. BibRef

Yamada, E.[Eiji], Iwaki, T.[Tetsuo],
Imaging apparatus for obtaining a high resolution image,
US_Patent5,754,226, May 19, 1998
WWW Link. BibRef 9805

Candocia, F.M., and Principe, J.C.,
Super-resolution of images based on local correlations,
TNN(10), No. 2, March 1999, pp. 372-380. BibRef 9903

Sabo, E.[Eran], Zalevsky, Z.[Zeev], Mendlovic, D.[David], Konforti, N.[Naim], Kiryuschev, I.[Irena],
Superresolution optical system using three fixed generalized gratings: experimental results,
JOSA-A(18), No. 3, March 2001, pp. 514-520. 0105
BibRef

Zalevsky, Z.[Zeev], (Ed.)
Super-Resolved Imaging: Geometrical and Diffraction Approaches,
Springer2011. ISBN: 978-1-4614-0832-1
WWW Link. 1109
BibRef

Borkowski, A.[Amikam], Zalevsky, Z.[Zeev], Javidi, B.[Bahram],
Geometrical superresolved imaging using nonperiodic spatial masking,
JOSA-A(26), No. 3, March 2009, pp. 589-601.
WWW Link. 0903
BibRef

Borkowski, A.[Amikam], Zalevsky, Z.[Zeev], Marom, E.[Emanuel], Javidi, B.[Bahram],
Enhanced geometrical superresolved imaging with moving binary random mask,
JOSA-A(28), No. 4, April 2011, pp. 566-575.
WWW Link. 1104
BibRef

Lertrattanapanich, S., Bose, N.K.,
High resolution image formation from low resolution frames using Delaunay triangulation,
IP(11), No. 12, December 2002, pp. 1427-1441.
IEEE DOI 0301
BibRef
Earlier:
HR Image from Multiframes by Delaunay Triangulation: A Synopsis,
ICIP02(II: 869-872).
IEEE DOI 0210
See also Superresolution with second generation wavelets. BibRef

Yang, Q.[Qing], Parvin, B.,
High-resolution reconstruction of sparse data from dense low-resolution spatio-temporal data,
IP(12), No. 6, June 2003, pp. 671-677.
IEEE DOI 0307
BibRef
Earlier: ICPR02(II: 261-264).
IEEE DOI 0211
BibRef

Nagahara, H., Yagi, Y.S.[Yasu-Shi], Yachida, M.[Masahiko],
Superresolution modeling using an omnidirectional image sensor,
SMC-B(33), No. 4, August 2003, pp. 607-615.
IEEE Abstract. 0308
BibRef
Earlier:
Resolution Improving Method from Multi-focal Omnidirectional Images,
ICIP01(I: 654-657).
IEEE DOI 0108
BibRef

Makihara, Y.S.[Yasu-Shi], Mori, A.[Atsushi], Yagi, Y.S.[Yasu-Shi],
Temporal Super Resolution from a Single Quasi-periodic Image Sequence Based on Phase Registration,
ACCV10(I: 107-120).
Springer DOI 1011
BibRef

de Juana, D.M.[Daniel M.], Oti, J.E.[Jose E.], Canales, V.F.[Vidal F.], Cagigal, M.P.[Manuel P.],
Transverse or axial superresolution in a 4Pi-confocal microscope by phase-only filters,
JOSA-A(20), No. 11, November 2003, pp. 2172-2178.
WWW Link. 0311
BibRef

Nieto-Vesperinas, M.[Manuel],
Problem of image superresolution with a negative-refractive-index slab,
JOSA-A(21), No. 4, April 2004, pp. 491-498.
WWW Link. 0409
BibRef

Rajaram, S.[Shyamsundar], Gupta, M.D.[Mithun Das], Petrovic, N.[Nemanja], Huang, T.S.[Thomas S.],
Learning-Based Nonparametric Image Super-Resolution,
JASP(2006), 2006, pp. 1-11.
WWW Link. 0603
BibRef
Earlier: A2, A1, A3, A4:
Non-Parametric Image Super-Resolution Using Multiple Images,
ICIP05(II: 89-92).
IEEE DOI 0512
BibRef

Gupta, M.D.[Mithun Das], Rajaram, S.[Shyamsundar], Petrovic, N.[Nemanja], Huang, T.S.[Thomas S.],
Models for Patch-Based Image Restoration,
JIVP(2009), No. 2009, pp. xx-yy.
DOI Link 0903
BibRef
Earlier: BP06(17).
IEEE DOI 0609
BibRef
And:
Classifiers for Motion,
ICPR06(II: 593-596).
IEEE DOI 0609
BibRef

Trimeche, M.[Mejdi], Bilcu, R.C.[Radu Ciprian], Yrjänäinen, J.[Jukka],
Adaptive Outlier Rejection in Image Super-resolution,
JASP(2006), 2006, pp. 1-12.
WWW Link. 0603
BibRef

Trimeche, M.[Mejdi], Yrjänäinen, J.[Jukka],
A Method for Simultaneous Outlier Rejection in Image Super-Resolution,
VLBV03(188-195).
Springer DOI 0310
BibRef

Humblot, F.[Fabrice], Mohammad-Djafari, A.[Ali],
Super-Resolution Using Hidden Markov Model and Bayesian Detection Estimation Framework,
JASP(2006), 2006, pp. 1-16.
WWW Link. 0603
BibRef

Zhang, S.Q.[Shu-Qun],
Application of Super-Resolution Image Reconstruction to Digital Holography,
JASP(2006), 2006, pp. 1-7.
WWW Link. 0603
BibRef

Gunturk, B.K., Gevrekci, M.,
High-Resolution Image Reconstruction From Multiple Differently Exposed Images,
SPLetters(13), No. 4, April 2006, pp. 197-200.
IEEE DOI 0604
BibRef
Earlier: A2, A1:
Image Acquisition Modeling for Super-Resolution Reconstruction,
ICIP05(II: 1058-1061).
IEEE DOI 0512
See also Depth map super resolution. BibRef

Prasad, S., Torgersen, T.C., Pauca, V.P., Plemmons, R.J., van der Gracht, J.,
High-resolution imaging using integrated optical systems,
IJIST(14), No. 2, 2004, pp. 67-74.
DOI Link 0408
BibRef

Chan, R.H.[Raymond H.], Riemenschneider, S.D.[Sherman D.], Shen, L.X.[Li-Xin], Shen, Z.W.[Zuo-Wei],
High-resolution image reconstruction with displacement errors: A framelet approach,
IJIST(14), No. 3, 2004, pp. 91-104.
DOI Link 0408
BibRef

Li, Y.R.[Yan-Ran], Dai, D.Q.[Dao-Qing], Shen, L.X.[Li-Xin],
Multiframe Super-Resolution Reconstruction Using Sparse Directional Regularization,
CirSysVideo(20), No. 7, July 2010, pp. 945-956.
IEEE DOI 1008
BibRef

MacDonald, A.[Adam], Cain, S.[Stephen], Oxley, M.[Mark],
Binary Weighted Averaging of an Ensemble of Coherently Collected Image Frames,
IP(16), No. 4, April 2007, pp. 1085-1100.
IEEE DOI 0704
BibRef

Wei, L.[Lei], Levi, D.M.[Dennis M.], Li, R.W.[Roger W.], Klein, S.A.[Stanley A.],
Feasibility Study on a Hyperacuity Device With Motion Uncertainty: Two-Point Stimuli,
SMC-B(37), No. 2, April 2007, pp. 385-397.
IEEE DOI 0704
BibRef

Ni, K.S., Nguyen, T.Q.,
Image Superresolution Using Support Vector Regression,
IP(16), No. 6, June 2007, pp. 1596-1610.
IEEE DOI 0706
BibRef

Lukac, R.[Rastislav], Plataniotis, K.N.[Konstantinos N.],
A new image sharpening approach for single-sensor digital cameras,
IJIST(17), No. 3, 2007, pp. 123-131.
DOI Link 0711
BibRef

Hardie, C.,
A Fast Image Super-Resolution Algorithm Using an Adaptive Wiener Filter,
IP(16), No. 12, December 2007, pp. 2953-2964.
IEEE DOI 0711
BibRef

Ben-Eliezer, E.[Eyal], Marom, E.[Emanuel],
Aberration-free superresolution imaging via binary speckle pattern encoding and processing,
JOSA-A(24), No. 4, April 2007, pp. 1003-1010.
WWW Link. 0801
BibRef

Mico, V.[Vicente], Limon, O.[Ofer], Gur, A.[Aviram], Zalevsky, Z.[Zeev], García, J.[Javier],
Transverse resolution improvement using rotating-grating time-multiplexing approach,
JOSA-A(25), No. 5, May 2008, pp. 1115-1129.
WWW Link. 0711
BibRef

El-Yamany, N.A.[Noha A.], Papamichalis, P.E.[Panos E.],
Robust Color Image Superresolution: An Adaptive M-Estimation Framework,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef
Earlier:
Using bounded-influence M-estimators in multi-frame super-resolution reconstruction: A comparative study,
ICIP08(337-340).
IEEE DOI 0810
BibRef

Kim, K.[Kio], Neretti, N.[Nicola], Intrator, N.[Nathan],
MAP fusion method for superresolution of images with locally varying pixel quality,
IJIST(18), No. 4, 2008, pp. 242-250.
DOI Link 0810
BibRef

Helin, T.[Tapio], Lassas, M.[Matti], Siltanen, S.[Samuli],
Infinite Photography: New Mathematical Model for High-Resolution Images,
JMIV(36), No. 2, February 2010, pp. xx-yy.
Springer DOI 1002
BibRef

Yuan, Q., Zhang, L., Shen, H., Li, P.,
Adaptive Multiple-Frame Image Super-Resolution Based on U-Curve,
IP(19), No. 12, December 2010, pp. 3157-3170.
IEEE DOI 1011
Regularization parameter choices. BibRef

Shi, G.M.[Guang-Ming], Gao, D.[Dahua], Song, X.X.[Xiao-Xia], Xie, X.M.[Xue-Mei], Chen, X.Y.[Xu-Yang], Liu, D.[Danhua],
High-Resolution Imaging Via Moving Random Exposure and Its Simulation,
IP(20), No. 1, January 2011, pp. 276-282.
IEEE DOI 1101
BibRef

Wu, X.L.[Xiao-Lin], Gao, D.[Dahua], Chen, Q.[Qin], Zhang, K.[Kaiwei],
High Joint Spectral-Spatial Resolution Imaging via Nanostructured Random Broadband Filtering,
ICIP19(2911-2915)
IEEE DOI 1910
Multispectral imaging, random broadband filtering, surface plasmon polariton. BibRef

Zhang, L.P.[Liang-Pei], Yuan, Q.Q.[Qiang-Qiang], Shen, H.F.[Huan-Feng], Li, P.X.[Ping-Xiang],
Multiframe image super-resolution adapted with local spatial information,
JOSA-A(28), No. 3, March 2011, pp. 381-390.
WWW Link. 1103
BibRef

Shen, H.F.[Huan-Feng], Peng, L., Yue, L., Yuan, Q.Q.[Qiang-Qiang], Zhang, L.P.[Liang-Pei],
Adaptive Norm Selection for Regularized Image Restoration and Super-Resolution,
Cyber(46), No. 6, June 2016, pp. 1388-1399.
IEEE DOI 1605
Adaptation models BibRef

Maiden, A.M.[Andrew M.], Humphry, M.J.[Martin J.], Zhang, F.[Fucai], Rodenburg, J.M.[John M.],
Superresolution imaging via ptychography,
JOSA-A(28), No. 4, April 2011, pp. 604-612.
WWW Link. 1104
Coherent diffractive imaging. Diffraction patterns extrapolated beyond the aperture of the recording device. BibRef

Kirmani, A., Jeelani, H., Montazerhodjat, V., Goyal, V.K.,
Diffuse Imaging: Creating Optical Images With Unfocused Time-Resolved Illumination and Sensing,
SPLetters(19), No. 1, January 2012, pp. 31-34.
IEEE DOI 1112
BibRef

Nasir, H.[Haidawati], Stankovic, V.[Vladimir], Marshall, S.[Stephen],
Singular value decomposition based fusion for super-resolution image reconstruction,
SP:IC(27), No. 2, February 2012, pp. 180-191.
Elsevier DOI 1202
Super-resolution; Image fusion BibRef

Su, H.[Heng], Tang, L.[Liang], Wu, Y., Tretter, D.[Daniel], Zhou, J.[Jie],
Spatially Adaptive Block-Based Super-Resolution,
IP(21), No. 3, March 2012, pp. 1031-1045.
IEEE DOI 1203
BibRef
Earlier: A1, A2, A4, A5, Only:
A practical and adaptive framework for super-resolution,
ICIP08(1236-1239).
IEEE DOI 0810
BibRef

Su, H.[Heng], Wu, Y., Zhou, J.[Jie],
Super-Resolution Without Dense Flow,
IP(21), No. 4, April 2012, pp. 1782-1795.
IEEE DOI 1204
BibRef

Petrou, M.[Maria], Jaward, M.H.[Mohamed H.], Chen, S.Y.[Sheng-Yong], Briers, M.[Mark],
Super-resolution in practice: the complete pipeline from image capture to super-resolved subimage creation using a novel frame selection method,
MVA(23), No. 3, May 2012, pp. 441-459.
WWW Link. 1204
Camera assumed to be on a vibrating platform, static scene. BibRef

Kulkarni, N., Nagesh, P., Gowda, R., Li, B.,
Understanding Compressive Sensing and Sparse Representation-Based Super-Resolution,
CirSysVideo(22), No. 5, May 2012, pp. 778-789.
IEEE DOI 1202
BibRef

Salari, E., Bao, G.,
Super-resolution using an enhanced Papoulis-Gerchberg algorithm,
IET-IPR(6), No. 7, 2012, pp. 959-965.
DOI Link 1211
BibRef

Salem, F., Yagle, A.E.,
Non-Parametric Super-Resolution Using a Bi-Sensor Camera,
MultMed(15), No. 1, January 2013, pp. 27-40.
IEEE DOI 1212
BibRef

Salem, F., Yagle, A.E.,
Super-Resolution of Dynamic Scenes Using Sampling Rate Diversity,
IP(25), No. 8, August 2016, pp. 3459-3474.
IEEE DOI 1608
Gaussian noise BibRef

Iqbal, M., Chen, J.,
Unification of image fusion and super-resolution using jointly trained dictionaries and local information contents,
IET-IPR(6), No. 9, 2012, pp. 1299-1310.
DOI Link 1302
BibRef

Ren, J.[Jie], Liu, J.Y.[Jia-Ying], Guo, Z.M.[Zong-Ming],
Context-Aware Sparse Decomposition for Image Denoising and Super-Resolution,
IP(22), No. 4, April 2013, pp. 1456-1469.
IEEE DOI 1303
BibRef

Zhang, Y.Q.[Yong-Qin], Liu, J.Y.[Jia-Ying], Yang, W., Guo, Z.M.[Zong-Ming],
Image Super-Resolution Based on Structure-Modulated Sparse Representation,
IP(24), No. 9, September 2015, pp. 2797-2810.
IEEE DOI 1506
Dictionaries BibRef

Zhang, Y.Q.[Yong-Qin], Liu, J.Y.[Jia-Ying], Bai, W.[Wei], Guo, Z.M.[Zong-Ming],
Exploiting multi-scale spatial structures for sparsity based single image super-resolution,
ICIP14(3877-3881)
IEEE DOI 1502
Dictionaries BibRef

Bai, W.[Wei], Yang, S., Liu, J.Y.[Jia-Ying], Ren, J.[Jie], Guo, Z.M.[Zong-Ming],
Image super resolution using saliency-modulated context-aware sparse decomposition,
VCIP13(1-6)
IEEE DOI 1402
compressed sensing BibRef

Ren, J.[Jie], Liu, J.Y.[Jia-Ying], Wang, M.Y.[Meng-Yan], Guo, Z.M.[Zong-Ming],
Image super-resolution by structural sparse coding,
ICPR12(1936-1939).
WWW Link. 1302
BibRef

Faramarzi, E.[Esmaeil], Rajan, D.[Dinesh], Christensen, M.P.[Marc P.],
Unified Blind Method for Multi-Image Super-Resolution and Single/Multi-Image Blur Deconvolution,
IP(22), No. 6, 2013, pp. 2101-2114.
IEEE DOI 1307
Markov processes; alternating minimization; blur estimation process; Blind estimation; blur deconvolution; image restoration; super-resolution BibRef

Faramarzi, E.[Esmaeil], Bhakta, V.R.[Vikrant R.], Rajan, D.[Dinesh], Christensen, M.P.[Marc P.],
Super Resolution results in PANOPTES, an adaptive multi-aperture folded architecture,
ICIP10(2833-2836).
IEEE DOI 1009
BibRef

Yue, H.J.[Huan-Jing], Sun, X.Y.[Xiao-Yan], Yang, J.Y.[Jing-Yu], Wu, F.[Feng],
Landmark Image Super-Resolution by Retrieving Web Images,
IP(22), No. 12, 2013, pp. 4865-4878.
IEEE DOI 1312
feature extraction See also Image Denoising by Exploring External and Internal Correlations. BibRef

Lenti, F., Nunziata, F., Estatico, C., Migliaccio, M.,
On the Spatial Resolution Enhancement of Microwave Radiometer Data in Banach Spaces,
GeoRS(52), No. 3, March 2014, pp. 1834-1842.
IEEE DOI 1403
geophysical techniques BibRef

Lenti, F., Nunziata, F., Estatico, C., Migliaccio, M.,
Conjugate Gradient Method in Hilbert and Banach Spaces to Enhance the Spatial Resolution of Radiometer Data,
GeoRS(54), No. 1, January 2016, pp. 397-406.
IEEE DOI 1601
geophysical techniques BibRef

Xu, H.L.[Hong-Liang], Zhou, F.[Fei], Yang, F.[Fan], Liao, Q.M.[Qing-Min],
Parameterized Multisurface Fitting for Multi-Frame Superresolution,
IEICE(E97-D), No. 4, April 2014, pp. 1001-1003.
WWW Link. 1404
BibRef

Yang, W.M.[Wen-Ming], Zhang, X.C.[Xue-Chen], Tian, Y.P.[Ya-Peng], Wang, W.[Wei], Xue, J.H.[Jing-Hao], Liao, Q.M.[Qing-Min],
LCSCNet: Linear Compressing-Based Skip-Connecting Network for Image Super-Resolution,
IP(29), No. , 2020, pp. 1450-1464.
IEEE DOI 1911
Training, Neural networks, Image reconstruction, Computer architecture, Image coding, Network architecture, feature fusion BibRef

Trinh, D.H.[Dinh-Hoan], Luong, M., Dibos, F., Rocchisani, J.M., Pham, C.D.[Canh-Duong], Nguyen, T.Q.,
Novel Example-Based Method for Super-Resolution and Denoising of Medical Images,
IP(23), No. 4, April 2014, pp. 1882-1895.
IEEE DOI 1404
image denoising BibRef

Yang, S., Wang, Z., Zhang, L., Wang, M.,
Dual-Geometric Neighbor Embedding for Image Super Resolution With Sparse Tensor,
IP(23), No. 7, July 2014, pp. 2793-2803.
IEEE DOI 1407
Dictionaries BibRef

Nasrollahi, K.[Kamal], Moeslund, T.B.[Thomas B.],
Super-resolution: a comprehensive survey,
MVA(25), No. 6, 2014, pp. 1423-1468.
WWW Link. 1408
Survey, Super-Resolution. BibRef

Dang, C., Aghagolzadeh, M.[Mohammad], Radha, H.[Hayder],
Image Super-Resolution via Local Self-Learning Manifold Approximation,
SPLetters(21), No. 10, October 2014, pp. 1245-1249.
IEEE DOI 1407
Approximation methods BibRef

Dang, C.[Chinh], Radha, H.[Hayder],
Fast image super-resolution via selective manifold learning of high-resolution patches,
ICIP15(1319-1323)
IEEE DOI 1512
Grassmann manifold distance BibRef

Lee, D.G.[Dae Gwan], Ferreira, P.J.S.G.,
Superoscillations with Optimal Numerical Stability,
SPLetters(21), No. 12, December 2014, pp. 1443-1447.
IEEE DOI 1410
bandlimited signals oscillate faster than bandlimit. BibRef

Turgay, E.[Emre], Akar, G.B.[Gozde B.],
Texture and edge preserving multiframe super-resolution,
IET-IPR(8), No. 9, September 2014, pp. 499-508.
DOI Link 1410
BibRef
Earlier:
Texture preserving multi frame super resolution with spatially varying image prior,
ICIP12(2205-2208).
IEEE DOI 1302
BibRef
Earlier:
Context based super resolution image reconstruction,
LNLA09(54-61).
IEEE DOI 0908
Gabor filters BibRef

Tang, Y.[Yi], Yuan, Y.[Yuan],
Learning From Errors in Super-Resolution,
Cyber(44), No. 11, November 2014, pp. 2143-2154.
IEEE DOI 1411
image resolution BibRef

Li, T.[Tao], He, X.H.[Xiao-Hai], Teng, Q.Z.[Qi-Zhi], Wang, Z.Y.[Zheng-Yong], Ren, C.[Chao],
Space-time super-resolution with patch group cuts prior,
SP:IC(30), No. 1, 2015, pp. 147-165.
Elsevier DOI 1412
Super-resolution BibRef

Sajjad, M.[Muhammad], Mehmood, I.[Irfan], Baik, S.W.[Sung Wook],
Image super-resolution using sparse coding over redundant dictionary based on effective image representations,
JVCIR(26), No. 1, 2015, pp. 50-65.
Elsevier DOI 1502
Super-resolution BibRef

Sajjad, M.[Muhammad], Mehmood, I.[Irfan], Abbas, N.[Naveed], Baik, S.W.[Sung Wook],
Basis pursuit denoising-based image superresolution using a redundant set of atoms,
SIViP(10), No. 1, January 2016, pp. 181-188.
Springer DOI 1601
BibRef

He, L.[Lei], Tan, J.Q.[Jie-Qing], Su, Z.[Zhuo], Luo, X.N.[Xiao-Nan], Xie, C.J.[Cheng-Jun],
Super-resolution by polar Newton-Thiele's rational kernel in centralized sparsity paradigm,
SP:IC(31), No. 1, 2015, pp. 86-99.
Elsevier DOI 1502
BibRef
And: Corrigendum: SP:IC(35), No. 1, 2015, pp. 85-86.
Elsevier DOI 1506
Continued fractions BibRef

Du, X.[Xian], Kojimoto, N.[Nigel], Anthony, B.W.[Brian W.],
Concentric circular trajectory sampling for super-resolution and image mosaicing,
JOSA-A(32), No. 2, February 2015, pp. 293-304.
DOI Link 1502
Industrial inspection BibRef

Lanaras, C.[Charis], Bioucas-Dias, J.[José], Galliani, S.[Silvano], Baltsavias, E.[Emmanuel], Schindler, K.[Konrad],
Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network,
PandRS(146), 2018, pp. 305-319.
Elsevier DOI 1812
Sentinel-2, Super-resolution, Sharpening of bands, Convolutional neural network, Deep learning BibRef

Shao, W.Z.[Wen-Ze], Deng, H.S.[Hai-Song], Wei, Z.H.[Zhi-Hui],
A posterior mean approach for MRF-based spatially adaptive multi-frame image super-resolution,
SIViP(9), No. 2, February 2015, pp. 437-449.
WWW Link. 1503
BibRef

Traonmilin, Y.[Yann], Ladjal, S.[Saïd], Almansa, A.[Andrés],
Robust Multi-Image Processing with Optimal Sparse Regularization,
JMIV(51), No. 3, March 2015, pp. 413-429.
WWW Link. 1504
BibRef
Earlier:
Outlier Removal Power of the L1-Norm Super-Resolution,
SSVM13(198-209).
Springer DOI 1305
Optical Flow and 3D Reconstruction BibRef

Polatkan, G., Zhou, M.Y., Carin, L., Blei, D., Daubechies, I.,
A Bayesian Nonparametric Approach to Image Super-Resolution,
PAMI(37), No. 2, February 2015, pp. 346-358.
IEEE DOI 1502
Bayes methods BibRef

Pérez, F., Pérez, A., Rodríguez, M., Magdaleno, E.,
Super-Resolved Fourier-Slice Refocusing in Plenoptic Cameras,
JMIV(52), No. 2, June 2015, pp. 200-217.
Springer DOI 1505
BibRef
Earlier:
Fourier Slice Super-resolution in plenoptic cameras,
ICCP12(1-11).
IEEE DOI 1208
BibRef

Kim, A.[Aram], Park, J.[Junhee], Lee, B.U.[Byung-Uk],
Removing Boundary Effect of a Patch-Based Super-Resolution Algorithm,
IEICE(E98-D), No. 4, April 2015, pp. 976-979.
WWW Link. 1505
BibRef

Laghrib, A.[Amine], Hakim, A.[Abdelilah], Raghay, S.[Said],
A combined total variation and bilateral filter approach for image robust super resolution,
JIVP(2015), No. 1, 2015, pp. 19.
DOI Link 1507
BibRef

Mohaoui, S.[Souad], Hakim, A.[Abdelilah], Raghay, S.[Said],
Bi-dictionary learning model for medical image reconstruction from undersampled data,
IET-IPR(14), No. 10, August 2020, pp. 2130-2139.
DOI Link 2008
BibRef

Laghrib, A.[Amine], Ezzaki, M.[Mahmoud], El Rhabi, M.[Mohammed], Hakim, A.[Abdelilah], Monasse, P.[Pascal], Raghay, S.[Said],
Simultaneous deconvolution and denoising using a second order variational approach applied to image super resolution,
CVIU(168), 2018, pp. 50-63.
Elsevier DOI 1804
Multiframe super resolution, Bilateral TV filter, Bounded hessian space, Second order regularization, Relaxed function BibRef

Laghrib, A.[Amine], Ben-Loghfyry, A., Hadri, A., Hakim, A.[Abdelilah],
A nonconvex fractional order variational model for multi-frame image super-resolution,
SP:IC(67), 2018, pp. 1-11.
Elsevier DOI 1808
Multi-frame super-resolution, Nonconvex fidelity term, Fractional order regularization, Optimization BibRef

Chen, C.B.[Chuan-Bo], Liang, H.[Hu], Zhao, S.R.[Sheng-Rong], Lyu, Z.[Zehua], Sarem, M.[Mudar],
A novel multi-image super-resolution reconstruction method using anisotropic fractional order adaptive norm,
VC(31), No. 9, September 2015, pp. 1217-1231.
Springer DOI 1508
BibRef

Lenti, F., Nunziata, F., Migliaccio, M., Rodriguez, G.,
Two-Dimensional TSVD to Enhance the Spatial Resolution of Radiometer Data,
GeoRS(52), No. 5, May 2014, pp. 2450-2458.
IEEE DOI 1403
Antennas BibRef

Liang, M., Du, J., Cao, S., Li, L.,
Super-resolution reconstruction based on multisource bidirectional similarity and non-local similarity matching,
IET-IPR(9), No. 11, 2015, pp. 931-942.
DOI Link 1511
image matching BibRef

Timofte, R.[Radu], de Smet, V.[Vincent], Van Gool, L.J.[Luc J.],
Semantic super-resolution: When and where is it useful?,
CVIU(142), No. 1, 2016, pp. 1-12.
Elsevier DOI 1512
Single-image super-resolution BibRef

Zhang, D.X.[Dong-Xiao], Jodoin, P.M., Li, C.[Cuihua], Wu, Y.[Yundong], Cai, G.R.[Guo-Rong],
Novel Graph Cuts Method for Multi-Frame Super-Resolution,
SPLetters(22), No. 12, December 2015, pp. 2279-2283.
IEEE DOI 1512
Markov processes BibRef

Cho, M.[Myung], Mishra, K.V., Cai, J.F.[Jian-Feng], Xu, W.Y.[Wei-Yu],
Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals,
SPLetters(22), No. 12, December 2015, pp. 2319-2313.
IEEE DOI 1512
compressed sensing BibRef

Chainais, P., Leray, A.,
Statistical Performance Analysis of a Fast Super-Resolution Technique Using Noisy Translations,
IP(25), No. 4, April 2016, pp. 1699-1712.
IEEE DOI 1604
Algorithm design and analysis BibRef

Faramarzi, E., Rajan, D., Fernandes, F.C.A., Christensen, M.P.,
Blind Super Resolution of Real-Life Video Sequences,
IP(25), No. 4, April 2016, pp. 1544-1555.
IEEE DOI 1604
Markov processes BibRef

Wood, S.L., Lan, H.B.[Hsueh-Ban], Rajan, D.[Dinesh], Christensen, M.P.,
Improved Multiplexed Image Reconstruction Performance Through Optical System Diversity Design,
ICIP06(2717-2720).
IEEE DOI 0610
High resolution from low resolution images. Better results when magnification of originals are diverse. BibRef

Chen, Y.J.[Yun-Jin],
Higher-order MRFs based image super resolution: why not MAP?,
IET-IPR(10), No. 4, 2016, pp. 297-303.
DOI Link 1604
Markov processes BibRef

Chen, Y.J.[Yun-Jin],
Variational JPEG artifacts suppression based on high-order MRFs,
SP:IC(52), No. 1, 2017, pp. 33-40.
Elsevier DOI 1701
JPEG deblocking BibRef

Morgenshtern, V.I.[Veniamin I.], Candès, E.J.[Emmanuel J.],
Super-Resolution of Positive Sources: The Discrete Setup,
SIIMS(9), No. 1, 2016, pp. 412-444.
DOI Link 1604
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Fernandez-Granda, C.[Carlos], Candes, E.J.[Emmanuel J.],
Super-resolution via Transform-Invariant Group-Sparse Regularization,
ICCV13(3336-3343)
IEEE DOI 1403
Super-resolution BibRef

Li, Y.B.[Yong-Bo], Dong, W.S.[Wei-Sheng], Xie, X.M.[Xue-Mei], Shi, G.M.[Guang-Ming], Wu, J.J.[Jin-Jian], Li, X.[Xin],
Image Super-Resolution With Parametric Sparse Model Learning,
IP(27), No. 9, September 2018, pp. 4638-4650.
IEEE DOI 1807
image reconstruction, image resolution, inverse problems, learning (artificial intelligence), HR images, LR/HR patch pairs, sparse representation BibRef

Richter, T.[Thomas], Seiler, J.[Jurgen], Schnurrer, W.[Wolfgang], Kaup, A.[Andre],
Robust Super-Resolution for Mixed-Resolution Multiview Image Plus Depth Data,
CirSysVideo(26), No. 5, May 2016, pp. 814-828.
IEEE DOI 1605
BibRef
Earlier:
Super-resolution for mixed-resolution multiview image plus depth data using a novel two-stage high-frequency extrapolation method for occluded areas,
ICIP15(1880-1884)
IEEE DOI 1512
Mixed-Resolution; Signal Extrapolation; Stereo Imaging; Super-Resolution BibRef

Seiler, J., Jonscher, M., Ussmueller, T., Kaup, A.,
Increasing Imaging Resolution by Non-Regular Sampling and Joint Sparse Deconvolution and Extrapolation,
CirSysVideo(29), No. 2, February 2019, pp. 308-322.
IEEE DOI 1902
Image sensors, Sensors, Image resolution, Image reconstruction, Layout, Reconstruction algorithms, Prototypes, spare reconstruction BibRef

Richter, T.[Thomas], Kaup, A.[Andre],
Multiview super-resolution using high-frequency synthesis in case of low-framerate depth information,
VCIP12(1-6).
IEEE DOI 1302
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Richter, T., Habermann, A., Kaup, A.,
Super-resolution for mixed-resolution multiview images using a relative frequency response estimation method,
VCIP15(1-4)
IEEE DOI 1605
Cameras BibRef

Genser, N., Seiler, J.[Jurgen], Jonscher, M.[Markus], Kaup, A.,
Demonstration of rapid frequency selective reconstruction for image resolution enhancement,
ICIP17(4595-4595)
IEEE DOI 1803
Computers, Image reconstruction, Image resolution, Image sensors, Sensors BibRef

Schnurrer, W.[Wolfgang], Jonscher, M.[Markus], Seiler, J.[Jurgen], Richter, T.[Thomas], Batz, M., Kaup, A.[Andre],
Centroid adapted frequency selective extrapolation for reconstruction of lost image areas,
VCIP15(1-4)
IEEE DOI 1605
Adaptation models See also Reducing randomness of non-regular sampling masks for image reconstruction. BibRef

Pérez-Pellitero, E.[Eduardo], Salvador, J.[Jordi], Ruiz-Hidalgo, J.[Javier], Rosenhahn, B.[Bodo],
Antipodally Invariant Metrics for Fast Regression-Based Super-Resolution,
IP(25), No. 6, June 2016, pp. 2456-2468.
IEEE DOI 1605
BibRef
And:
PSyCo: Manifold Span Reduction for Super Resolution,
CVPR16(1837-1845)
IEEE DOI 1612
BibRef
Earlier:
Bayesian region selection for adaptive dictionary-based Super-Resolution,
BMVC13(xx-yy).
DOI Link 1402
image resolution See also Patch-based spatio-temporal super-resolution for video with non-rigid motion. BibRef

Pérez-Pellitero, E.[Eduardo], Salvador, J.[Jordi], Torres-Xirau, I.[Iban], Ruiz-Hidalgo, J.[Javier], Rosenhahn, B.[Bodo],
Fast Super-Resolution via Dense Local Training and Inverse Regressor Search,
ACCV14(III: 346-359).
Springer DOI 1504
BibRef

Han, N.N.[Ning-Ning], Song, Z.J.[Zhan-Jie], Li, Y.[Ying],
Cluster-based image super-resolution via jointly low-rank and sparse representation,
JVCIR(38), No. 1, 2016, pp. 175-185.
Elsevier DOI 1605
Image super-resolution BibRef

Yoo, J.S.[Jun-Sang], Choi, J.H.[Ji-Hoon], Choi, K.S.[Kang-Sun], Lee, D.Y.[Dae-Yeol], Kim, H.Y.[Hui-Yong], Kim, J.O.[Jong-Ok],
Fast Search of a Similar Patch for Self-Similarity Based Image Super Resolution,
IEICE(E99-D), No. 8, August 2016, pp. 2194-2198.
WWW Link. 1608
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d'Acunto, M.[Mario], Righi, M.[Marco], Salvetti, O.[Ovidio],
A new method combining enhanced resolution and pattern identification,
SIViP(10), No. 7, October 2016, pp. 1303-1310.
WWW Link. 1609
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Xiao, J.S.[Jin-Sheng], Pang, G.L.[Guan-Lin], Zhang, Y.Q.[Yong-Qin], Kuang, Y.[Yuli], Yan, Y.C.[Yu-Chen], Wang, Y.X.[Yi-Xiang],
Adaptive shock filter for image super-resolution and enhancement,
JVCIR(40, Part A), No. 1, 2016, pp. 168-177.
Elsevier DOI 1609
Image enhancement BibRef

Jin, R.C.[Ren-Chao], Zhao, S.R.[Sheng-Rong], Xu, X.Y.[Xiang-Yang], Song, E.[Enmin],
Multiframe super-resolution based on half-quadratic prior with artifacts suppress,
JVCIR(40, Part B), No. 1, 2016, pp. 656-670.
Elsevier DOI 1610
Super-resolution BibRef

Xiao, J.S.[Jin-Sheng], Liu, E.[Enyu], Zhao, L.[Ling], Wang, Y.F.[Yuan-Fang], Jiang, W.B.[Wen-Bin],
Detail enhancement of image super-resolution based on detail synthesis,
SP:IC(50), No. 1, 2017, pp. 21-33.
Elsevier DOI 1612
Super resolution BibRef

Liu, J.Y.[Jia-Ying], Yang, W.H.[Wen-Han], Zhang, X.F.[Xin-Feng], Guo, Z.M.[Zong-Ming],
Retrieval Compensated Group Structured Sparsity for Image Super-Resolution,
MultMed(19), No. 2, February 2017, pp. 302-316.
IEEE DOI 1702
image coding BibRef

Yang, W.H.[Wen-Han], Liu, J.Y.[Jia-Ying], Yang, S.[Saboya], Quo, Z.M.[Zong-Ming],
Image super-resolution via nonlocal similarity and group structured sparse representation,
VCIP15(1-4)
IEEE DOI 1605
Adaptation models BibRef

Wang, Z.W.[Zi-Wen], Feng, G.R.[Guo-Rui], Fan, L.Y.[Ling-Yan], Wang, J.W.[Jin-Wei],
Sparse Representation for Color Image Super-Resolution with Image Quality Difference Evaluation,
IEICE(E100-D), No. 1, January 2017, pp. 150-159.
WWW Link. 1701
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Lee, J.W.[Jae-Won], Lee, O.Y.[Oh-Young], Kim, J.O.[Jong-Ok],
Dual learning based compression noise reduction in the texture domain,
JVCIR(43), No. 1, 2017, pp. 98-107.
Elsevier DOI 1702
Compression noise BibRef

Lee, O.Y.[Oh-Young], Lee, J.W.[Jae-Won], Kim, J.O.[Jong-Ok],
Combining self-learning based super-resolution with denoising for noisy images,
JVCIR(48), No. 1, 2017, pp. 66-76.
Elsevier DOI 1708
Self-learning BibRef

Lee, O.Y.[Oh-Young], Lee, J.W.[Jae-Won], Lee, D.Y., Kim, J.O.[Jong-Ok],
Joint super-resolution and compression artifact reduction based on dual-learning,
VCIP16(1-4)
IEEE DOI 1701
Hafnium BibRef

Sundar, K.J.A.[K. Joseph Abraham], Vaithiyanathan, V.,
Multi-frame super-resolution using adaptive normalized convolution,
SIViP(11), No. 2, February 2017, pp. 357-362.
WWW Link. 1702
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Graba, F.[Fares], Comby, F.[Frederic], Strauss, O.[Olivier],
Non-Additive Imprecise Image Super-Resolution in a Semi-Blind Context,
IP(26), No. 3, March 2017, pp. 1379-1392.
IEEE DOI 1703
BibRef
Earlier:
Non-additive imprecise image super-resolution,
ICIP14(3882-3886)
IEEE DOI 1502
image reconstruction. Additives BibRef

Zhang, T.[Ting], Du, Y.[Yi], Lu, F.F.[Fang-Fang],
Super-Resolution Reconstruction of Remote Sensing Images Using Multiple-Point Statistics and Isometric Mapping,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Punnappurath, A., Nimisha, T.M., Rajagopalan, A.N.[Ambasamudram N.],
Multi-Image Blind Super-Resolution of 3D Scenes,
IP(26), No. 11, November 2017, pp. 5337-5352.
IEEE DOI 1709
blind superresolution technique, handheld camera, nonuniformly motion blurred low-resolution imaging, Non-uniform blur, depth map BibRef

Hou, B., Zhou, K., Jiao, L.,
Adaptive Super-Resolution for Remote Sensing Images Based on Sparse Representation With Global Joint Dictionary Model,
GeoRS(56), No. 4, April 2018, pp. 2312-2327.
IEEE DOI 1804
Adaptation models, Dictionaries, Image edge detection, Image reconstruction, Image resolution, Interpolation, super-resolution (SR) BibRef

Wang, Y., Wang, L., Wang, H., Li, P.,
Information-Compensated Downsampling for Image Super-Resolution,
SPLetters(25), No. 5, May 2018, pp. 685-689.
IEEE DOI 1805
convolution, feature extraction, image denoising, image enhancement, image reconstruction, image representation, super-resolution BibRef

Wang, X.F.[Xiao-Feng], Zhou, D.D.[Di-Dong], Zeng, N.L.[Neng-Liang], Yu, X.[Xina], Hu, S.L.[Shao-Lin],
Super-resolution image reconstruction using surface fitting with hierarchical structure,
JVCIR(53), 2018, pp. 65-75.
Elsevier DOI 1805
Super-resolution image reconstruction, Neighborhood expansion, Multi-surface fitting, Hierarchical structure, MAP estimation BibRef

Laghrib, A.[Amine], Alahyane, M.[Mohamed], Ghazdali, A.[Abdelghani], Hakim, A.[Abdelilah], Raghay, S.[Said],
Multiframe super-resolution based on a high-order spatially weighted regularisation,
IET-IPR(12), No. 6, June 2018, pp. 928-940.
DOI Link 1805
BibRef

Xu, K.[Ke], Wang, X.[Xin], Yang, X.[Xin], He, S.F.[Sheng-Feng], Zhang, Q.A.[Qi-Ang], Yin, B.C.[Bao-Cai], Wei, X.P.[Xiao-Peng], Lau, R.W.H.[Rynson W. H.],
Efficient image super-resolution integration,
VC(34), No. 6-8, June 2018, pp. 1065-1076.
Springer DOI 1806
BibRef

Lal, A., Shan, C., Zhao, K., Liu, W., Huang, X., Zong, W., Chen, L., Xi, P.,
A Frequency Domain SIM Reconstruction Algorithm Using Reduced Number of Images,
IP(27), No. 9, September 2018, pp. 4555-4570.
IEEE DOI 1807
image reconstruction, image resolution, iterative methods, least squares approximations, medical image processing, super-resolution BibRef

Liu, X., Chen, L., Wang, W., Zhao, J.,
Robust Multi-Frame Super-Resolution Based on Spatially Weighted Half-Quadratic Estimation and Adaptive BTV Regularization,
IP(27), No. 10, October 2018, pp. 4971-4986.
IEEE DOI 1808
Bayes methods, image reconstruction, image resolution, matrix algebra, robust multiframe super-resolution, adaptive bilateral total variation (ABTV) BibRef

Quevedo, E., Sánchez, L., Callicó, G.M., Tobajas, F., de la Cruz, J., de Armas, V., Sarmiento, R.,
Super-resolution with selective filter based on adaptive window and variable macro-block size,
RealTimeIP(15), No. 2, August 2018, pp. 389-406.
Springer DOI 1808
BibRef

Aoki, R.[Reo], Imamura, K.[Kousuke], Hirano, A.[Akihiro], Matsuda, Y.[Yoshio],
High-Performance Super-Resolution via Patch-Based Deep Neural Network for Real-Time Implementation,
IEICE(E101-D), No. 11, November 2018, pp. 2808-2817.
WWW Link. 1811
BibRef

Zhu, H.[Hong], Gao, X.M.[Xiao-Ming], Tang, X.M.[Xin-Ming], Xie, J.F.[Jun-Feng], Song, W.D.[Wei-Dong], Mo, F.[Fan], Jia, D.[Di],
Super-Resolution Reconstruction and Its Application Based on Multilevel Main Structure and Detail Boosting,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
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Li, H.L.[Hai-Liang], Lam, K.M.[Kin-Man], Wang, M.[Miaohui],
Image super-resolution via feature-augmented random forest,
SP:IC(72), 2019, pp. 25-34.
Elsevier DOI 1902
Random forest, Gradient magnitude filter, Clustering and regression, Image super-resolution, Weighted ridge regression BibRef

Nandi, D.[Debashis], Karmakar, J.[Jayashree], Kumar, A.[Amish], Mandal, M.K.[Mrinal Kanti],
Sparse representation based multi-frame image super-resolution reconstruction using adaptive weighted features,
IET-IPR(13), No. 4, March 2019, pp. 663-672.
DOI Link 1903
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Zareapoor, M.[Masoumeh], Celebi, M.E.[M. Emre], Yang, J.[Jie],
Diverse Adversarial Network for Image Super-Resolution,
SP:IC(74), 2019, pp. 191-200.
Elsevier DOI 1904
Super-resolution, Adversarial network, Diverse GAN, Deep learning BibRef

Shamsolmoali, P.[Pourya], Zareapoor, M.[Masoumeh], Zhang, J.[Junhao], Yang, J.[Jie],
Image super resolution by dilated dense progressive network,
IVC(88), 2019, pp. 9-18.
Elsevier DOI 1908
Image supper resolution, Dense network, Dilated convolution BibRef

Noor, D.F.[Dewan Fahim], Li, Y.[Yue], Li, Z.[Zhu], Bhattacharyya, S.[Shuvra], York, G.[George],
Multi-Scale Gradient Image Super-Resolution for Preserving SIFT Key Points in Low-Resolution Images,
SP:IC(78), 2019, pp. 236-245.
Elsevier DOI 1909
Image super-resolution, Difference of Gaussian, Gradient image, SIFT repeatability BibRef

Chang, Y.P.[Yun-Peng], Luo, B.[Bin],
Bidirectional Convolutional LSTM Neural Network for Remote Sensing Image Super-Resolution,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
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Li, L.L.[Ling-Ling], Zhang, S.[Sibo], Jiao, L.C.[Li-Cheng], Liu, F.[Fang], Yang, S.Y.[Shu-Yuan], Tang, X.[Xu],
Semi-Coupled Convolutional Sparse Learning for Image Super-Resolution,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
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Yoo, J.S.[Jun-Sang], Kim, J.O.[Jong-Ok],
Noise-Robust Iterative Back-Projection,
IP(29), No. , 2020, pp. 1219-1232.
IEEE DOI 1911
Image reconstruction, Noise measurement, Principal component analysis, Image resolution, Noise robustness, cost optimization BibRef

Catala, P.[Paul], Duval, V.[Vincent], Peyré, G.[Gabriel],
A Low-Rank Approach to Off-the-Grid Sparse Superresolution,
SIIMS(12), No. 3, 2019, pp. 1464-1500.
DOI Link 1911
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Dong, X.Y.[Xiao-Yu], Xi, Z.H.[Zhi-Hong], Sun, X.[Xu], Gao, L.[Lianru],
Transferred Multi-Perception Attention Networks for Remote Sensing Image Super-Resolution,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
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Yang, X.M.[Xiao-Mei], Zhang, J.W.[Jia-Wei], Liu, Y.[Yanan], Zheng, X.J.[Xiu-Juan], Liu, K.[Kai],
Super-resolution image reconstruction using fractional-order total variation and adaptive regularization parameters,
VC(35), No. 12, December 2018, pp. 1755-1768.
WWW Link. 1912
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Zhang, L.[Lei], Wang, P.[Peng], Shen, C.H.[Chun-Hua], Liu, L.Q.[Ling-Qiao], Wei, W.[Wei], Zhang, Y.N.[Yan-Ning], van den Hengel, A.J.[Anton J.],
Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network,
IJCV(128), No. 2, February 2020, pp. 479-499.
Springer DOI 2002
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Ying, X.Y.[Xin-Yi], Wang, Y.Q.[Ying-Qian], Wang, L.G.[Long-Guang], Sheng, W.D.[Wei-Dong], An, W.[Wei], Guo, Y.L.[Yu-Lan],
A Stereo Attention Module for Stereo Image Super-Resolution,
SPLetters(27), 2020, pp. 496-500.
IEEE DOI 2005
Training, Image resolution, Convolution, Signal resolution, Feature extraction, Flickr, Image reconstruction, super-resolution BibRef

Wang, Y.Q.[Ying-Qian], Wang, L.G.[Long-Guang], Yang, J.G.[Jun-Gang], An, W.[Wei], Guo, Y.L.[Yu-Lan],
Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution,
CLI19(3852-3857)
IEEE DOI 2004
Dataset, Flickr. Dataset, Super Resolution.
WWW Link. cameras, data acquisition, image resolution, stereo image processing, large-scale stereo dataset, super resolution BibRef

Lin, C., Bioucas-Dias, J.M.,
An Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior With Application to Unsupervised Sentinel-2 Super-Resolution,
GeoRS(58), No. 5, May 2020, pp. 3352-3365.
IEEE DOI 2005
Convex optimization, scene-adapted self-similarity, self-similarity, Sentinel-2 satellite, super-resolution BibRef

Bhandari, A.[Ayush], Conde, M.H.[Miguel Heredia], Loffeld, O.[Otmar],
One-Bit Time-Resolved Imaging,
PAMI(42), No. 7, July 2020, pp. 1630-1641.
IEEE DOI 2006
Imaging, Time measurement, Image resolution, Sensors, Quantization (signal), Current measurement, Photonics, sparse recovery and time-resolved imaging BibRef

Li, F., Bai, H., Zhao, Y.,
FilterNet: Adaptive Information Filtering Network for Accurate and Fast Image Super-Resolution,
CirSysVideo(30), No. 6, June 2020, pp. 1511-1523.
IEEE DOI 2006
Image reconstruction, Image resolution, Convolution, Information filters, Convolutional neural networks, Training, adaptive information fusion BibRef

Marivani, I.[Iman], Tsiligianni, E.[Evaggelia], Cornelis, B.[Bruno], Deligiannis, N.[Nikos],
Multimodal Deep Unfolding for Guided Image Super-Resolution,
IP(29), 2020, pp. 8443-8456.
IEEE DOI 2008
BibRef
And:
Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors,
ICIP20(868-872)
IEEE DOI 2011
BibRef
Earlier:
Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution,
ICIP19(2891-2895)
IEEE DOI 1910
Image resolution, Machine learning, Convolutional codes, Image coding, Neural networks, Imaging, Image reconstruction, interpretable convolutional neural networks. Convolution, Signal resolution, Encoding, multimodal image fusion. Guided image super-resolution, convolutional sparse coding, multimodal deep neural networks BibRef

Galar, M.[Mikel], Sesma, R.[Rubén], Ayala, C.[Christian], Albizua, L.[Lourdes], Aranda, C.[Carlos],
Super-Resolution of Sentinel-2 Images Using Convolutional Neural Networks and Real Ground Truth Data,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
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Köhler, T.[Thomas], Bätz, M.[Michel], Naderi, F.[Farzad], Kaup, A.[André], Maier, A.[Andreas], Riess, C.[Christian],
Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data,
PAMI(42), No. 11, November 2020, pp. 2944-2959.
IEEE DOI 2010
Benchmark testing, Databases, Spatial resolution, Observers, Cameras, Hardware, Super-resolution, ground truth, simulated-to-real gap, observer study BibRef

Nayak, R.[Rajashree], Patra, D.[Dipti], Balabantaray, B.K.[Bunil Ku],
Super-resolution image reconstruction using molecular docking,
IET-IPR(14), No. 12, October 2020, pp. 2922-2936.
DOI Link 2010
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El Helou, M.[Majed], Zhou, R.F.[Ruo-Fan], Süsstrunk, S.[Sabine],
Stochastic Frequency Masking to Improve Super-resolution and Denoising Networks,
ECCV20(XVI: 749-766).
Springer DOI 2010
BibRef

Qiao, H.,
A Universal Technique for Analysing Discrete Super-Resolution Algorithms,
SPLetters(27), 2020, pp. 1829-1833.
IEEE DOI 2011
Signal resolution, Image resolution, Signal processing algorithms, Eigenvalues and eigenfunctions, dantzig selector BibRef


Li, H.X.[Hui-Xia], Yan, C.Q.[Chen-Qian], Lin, S.H.[Shao-Hui], Zheng, X.W.[Xia-Wu], Zhang, B.C.[Bao-Chang], Yang, F.[Fan], Ji, R.R.[Rong-Rong],
PAMS: Quantized Super-resolution via Parameterized Max Scale,
ECCV20(XXV:564-580).
Springer DOI 2011
BibRef

Cheng, X.[Xi], Fu, Z.Y.[Zhen-Yong], Yang, J.[Jian],
Zero-shot Image Super-resolution with Depth Guided Internal Degradation Learning,
ECCV20(XVII:265-280).
Springer DOI 2011
BibRef

Shin, C., Kim, S., Kim, Y.,
From Planetscope To Worldview: Micro-Satellite Image Super-Resolution With Optimal Transport Distance,
ICIP20(898-902)
IEEE DOI 2011
Degradation, Remote sensing, Satellites, Histograms, Image resolution, Training, Generators, Micro-satellite image, degradation learning BibRef

Schirrmacher, F., Lorch, B., Stimpel, B., Köhler, T., Riess, C.,
SR2: Super-Resolution With Structure-Aware Reconstruction,
ICIP20(533-537)
IEEE DOI 2011
Image resolution, Task analysis, Training, Image reconstruction, Noise measurement, Degradation, Training data, Deep learning, Classification BibRef

Park, J.Y., Choi, D.Y., Song, B.C.,
Slice-Based Super-Resolution Using Light-Weight Network With Relation Loss,
ICIP20(503-507)
IEEE DOI 2011
Convolution, Image resolution, Visualization, Radio frequency, Computer architecture, Degradation, Training, Light-weight, relation loss BibRef

Wei, P.X.[Peng-Xu], Xie, Z.W.[Zi-Wei], Lu, H.[Hannan], Zhan, Z.Y.[Zong-Yuan], Ye, Q.X.[Qi-Xiang], Zuo, W.M.[Wang-Meng], Lin, L.[Liang],
Component Divide-and-conquer for Real-world Image Super-resolution,
ECCV20(VIII:101-117).
Springer DOI 2011
BibRef

Hyun, S.[Sangeek], Heo, J.P.[Jae-Pil],
Varsr: Variational Super-resolution Network for Very Low Resolution Images,
ECCV20(XXIII:431-447).
Springer DOI 2011
BibRef

Jiang, Y., Lu, Y., Dong, L., Xu, W.,
Multi-frame Image Super-Resolution Algorithm Based on Small Amount of Data,
ICIVC20(118-122)
IEEE DOI 2009
Image reconstruction, Spatial resolution, Kernel, Interpolation, Estimation, Filtering, multi-frame, super-resolution, image details BibRef

Chudasama, V., Patel, H., Prajapati, K., Upla, K., Ramachandra, R., Raja, K., Busch, C.,
TherISuRNet - A Computationally Efficient Thermal Image Super-Resolution Network,
PBVS20(388-397)
IEEE DOI 2008
Cameras, Spatial resolution, Feature extraction, Training, Computer architecture BibRef

Shim, G., Park, J., Kweon, I.S.,
Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution,
CVPR20(8422-8431)
IEEE DOI 2008
Feature extraction, Convolution, Image reconstruction, Image resolution, Degradation, Robustness, Kernel BibRef

Kansal, P., Nathan, S.,
A Multi-Level Supervision Model: A novel approach for Thermal Image Super Resolution,
PBVS20(426-431)
IEEE DOI 2008
Spatial resolution, Training, Task analysis, Computer architecture, Image edge detection, Convolution BibRef

Rivadeneira, R.E., Sappa, A.D., Vintimilla, B.X., Guo, L., Hou, J., Mehri, A., Ardakani, P.B., Patel, H., Chudasama, V., Prajapati, K., Upla, K.P., Ramachandra, R., Raja, K., Busch, C., Almasri, F., Debeir, O., Nathan, S., Kansal, P., Gutierrez, N., Mojra, B., Beksi, W.J.,
Thermal Image Super-Resolution Challenge - PBVS 2020,
PBVS20(432-439)
IEEE DOI 2008
Image resolution, Cameras, Training, Agriculture, Graphics processing units, Conferences, Testing BibRef

Mostafavi, S.I.M.[S. I. Mohammad], Choi, J.[Jonghyun], Yoon, K.J.[Kuk-Jin],
Learning to Super Resolve Intensity Images From Events,
CVPR20(2765-2773)
IEEE DOI 2008
Image resolution, Image reconstruction, Optical imaging, Streaming media, Adaptive optics, Stacking, Cameras BibRef

Zhou, Y., Deng, W., Tong, T., Gao, Q.,
Guided Frequency Separation Network for Real-World SuperResolution,
NTIRE20(1722-1731)
IEEE DOI 2008
Image color analysis, Image edge detection, Image resolution, Generators, Training BibRef

Ma, C., Rao, Y., Cheng, Y., Chen, C., Lu, J., Zhou, J.,
Structure-Preserving Super Resolution With Gradient Guidance,
CVPR20(7766-7775)
IEEE DOI 2008
Image resolution, Image edge detection, Distortion, Image reconstruction, Image restoration, Visualization BibRef

Chen, S.J.[Shuai-Jun], Han, Z.[Zhen], Dai, E.[Enyan], Jia, X.[Xu], Liu, Z.L.[Zi-Luan], Liu, X.[Xing], Zou, X.Y.[Xue-Yi], Xu, C.J.[Chun-Jing], Liu, J.Z.[Jian-Zhuang], Tian, Q.[Qi],
Unsupervised Image Super-Resolution with an Indirect Supervised Path,
NTIRE20(1924-1933)
IEEE DOI 2008
Image resolution, Degradation, Training, Task analysis, Pipelines, Image reconstruction, Machine learning BibRef

Shang, T., Dai, Q., Zhu, S., Yang, T., Guo, Y.,
Perceptual Extreme Super Resolution Network with Receptive Field Block,
NTIRE20(1778-1787)
IEEE DOI 2008
Image resolution, Feature extraction, Convolution, Kernel, Time complexity, Interpolation, Image reconstruction BibRef

Zhang, K.[Kai], Gu, S.H.[Shu-Hang], Timofte, R.[Radu], Shang, T.Z.[Tai-Zhang], Dai, Q.J.[Qiu-Ju], Zhu, S.C.[Sheng-Chen], Yang, T.[Tong], Guo, Y.D.[Yan-Dong], Jo, Y.H.[Young-Hyun], Yang, S.J.[Se-Jong], Kim, S.J.[Seon Joo], Zha, L.[Lin], Jiang, J.D.[Jian-De], Gao, X.[Xinbo], Lu, W.[Wen], Liu, J.[Jing], Yoon, K.J.[Kwang-Jin], Jeon, T.[Taegyun], Akita, K.[Kazutoshi], Ooba, T.[Takeru], Ukita, N.[Norimichi], Luo, Z.P.[Zhi-Peng], Yao, Y.H.[Yue-Han], Xu, Z.Y.[Zhen-Yu], He, D.L.[Dong-Liang], Wu, W.H.[Wen-Hao], Ding, Y.K.[Yu-Kang], Li, C.[Chao], Li, F.[Fu], Wen, S.L.[Shi-Lei], Li, J.W.[Jian-Wei], Yang, F.Z.[Fu-Zhi], Yang, H.[Huan], Fu, J.L.[Jian-Long], Kim, B.H.[Byung-Hoon], Baek, J.[Jae_Hyun], Ye, J.C.[Jong Chul], Fan, Y.C.[Yu-Chen], Huang, T.S.[Thomas S.], Lee, J.[Junyeop], Lee, B.[Bokyeung], Min, J.[Jungki], Kim, G.[Gwantae], Lee, K.Y.[Kangh-Yu], Park, J.[Jaihyun], Mykhailych, M.[Mykola], Zhong, H.[Haoyu], Shi, Y.[Yukai], Yang, X.J.[Xiao-Jun], Yang, Z.J.[Zhi-Jing], Lin, L.[Liang], Zhao, T.T.[Tong-Tong], Peng, J.J.[Jin-Jia], Wang, H.B.[Hui-Bing], Jin, Z.[Zhi], Wu, J.H.[Jia-Hao], Chen, Y.F.[Yi-Fu], Shang, C.M.[Chen-Ming], Zhang, H.R.[Huan-Rong], Min, J.[Jeongki], Hrishikesh, P.S., Puthussery, D.[Densen], Jiji, C.V.,
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results,
NTIRE20(2045-2057)
IEEE DOI 2008
Image resolution, Training, Testing, Image reconstruction, Convolution, Task analysis BibRef

Lugmayr, A.[Andreas], Danelljan, M.[Martin], Timofte, R.[Radu], Ahn, N.[Namhyuk], Bai, D.[Dongwoon], Cai, J.[Jie], Cao, Y.[Yun], Chen, J.Y.[Jun-Yang], Cheng, K.[Kaihua], Chun, S.[Se_Young], Deng, W.[Wei], El-Khamy, M.[Mostafa], Ho, C.M.[Chiu Man], Ji, X.Z.[Xiao-Zhong], Kheradmand, A.[Amin], Kim, G.[Gwantae], Ko, H.[Hanseok], Lee, K.[Kanghyu], Lee, J.W.[Jung-Won], Li, H.[Hao], Liu, Z.[Ziluan], Liu, Z.S.[Zhi-Song], Liu, S.[Shuai], Lu, Y.H.[Yun-Hua], Meng, Z.[Zibo], Michelini, P.N.[Pablo Navarrete], Micheloni, C.[Christian], Prajapati, K.[Kalpesh], Ren, H.Y.[Hao-Yu], Seo, Y.H.[Yong Hyeok], Siu, W.C.[Wan-Chi], Sohn, K.A.[Kyung-Ah], Tai, Y.[Ying], Umer, R.M.[Rao Muhammad], Wang, S.Q.[Shuang-Quan], Wang, H.B.[Hui-Bing], Wu, T.H.[Timothy Haoning], Wu, H.N.[Hao-Ning], Yang, B.[Biao], Yang, F.[Fuzhi], Yoo, J.J.[Jae-Jun], Zhao, T.T.[Tong-Tong], Zhou, Y.B.[Yuan-Bo], Zhuo, H.J.[Hai-Jie], Zong, Z.Y.[Zi-Yao], Zou, X.Y.[Xue-Yi],
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results,
NTIRE20(2058-2076)
IEEE DOI 2008
Image resolution, Degradation, Target tracking, Signal resolution, Training BibRef

Shoeiby, M., Petersson, L., Armin, M.A., Aliakbarian, S., Robles-Kelly, A.,
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network,
WACV20(2793-2802)
IEEE DOI 2006
Spatial resolution, Sensors, Cameras, Image sensors, Image color analysis BibRef

Wang, J.Q.[Jia-Qi], Chen, K.[Kai], Xu, R.[Rui], Liu, Z.W.[Zi-Wei], Loy, C.C.[Chen Change], Lin, D.[Dahua],
CARAFE: Content-Aware ReAssembly of FEatures,
ICCV19(3007-3016)
IEEE DOI 2004
Code, Convolutional Networks.
WWW Link. Feature upsampling. convolutional neural nets, image segmentation, interpolation, learning (artificial intelligence), object detection, CARAFE, Image segmentation BibRef

Navarrete Michelini, P.[Pablo], Chen, W.B.[Wen-Bin], Liu, H.W.[Han-Wen], Zhu, D.[Dan],
MGBPv2: Scaling Up Multi-Grid Back-Projection Networks,
AIM19(3399-3407)
IEEE DOI 2004
image reconstruction, image resolution, iterative methods, MGBPv2, multigrid back-projection networks, perceptual quality, adversarial BibRef

Lutio, R.D., D'aronco, S., Wegner, J.D., Schindler, K.,
Guided Super-Resolution As Pixel-to-Pixel Transformation,
ICCV19(8828-8836)
IEEE DOI 2004
image resolution, multilayer perceptrons, guided super-resolution, pixel-to-pixel transformation, Vegetation BibRef

Fritsche, M., Gu, S., Timofte, R.,
Frequency Separation for Real-World Super-Resolution,
AIM19(3599-3608)
IEEE DOI 2004
image resolution, image sampling, real-world super-resolution, image super-resolution, low resolution image, deep learning BibRef

Kim, S., Li, G., Fuoli, D., Danelljan, M., Huang, Z., Gu, S., Timofte, R.,
The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping,
AIM19(3609-3616)
IEEE DOI 2004
cameras, image enhancement, image resolution, smart phones, stereo image processing, video signal processing, Video Quality Mapping BibRef

Xu, X.Y.[Xiang-Yu], Ma, Y.R.[Yong-Rui], Sun, W.X.[Wen-Xiu],
Towards Real Scene Super-Resolution With Raw Images,
CVPR19(1723-1731).
IEEE DOI 2002
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Gu, J.[Jinjin], Lu, H.[Hannan], Zuo, W.M.[Wang-Meng], Dong, C.[Chao],
Blind Super-Resolution With Iterative Kernel Correction,
CVPR19(1604-1613).
IEEE DOI 2002
BibRef

Chen, C.[Chang], Xiong, Z.W.[Zhi-Wei], Tian, X.[Xinmei], Zha, Z.J.[Zheng-Jun], Wu, F.[Feng],
Camera Lens Super-Resolution,
CVPR19(1652-1660).
IEEE DOI 2002
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Galar, M., Sesma, R., Ayala, C., Aranda, C.,
Super-resolution for Sentinel-2 Images,
PIA19(95-102).
DOI Link 1912
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Richard, A., Cherabier, I., Oswald, M.R., Tsiminaki, V., Pollefeys, M., Schindler, K.,
Learned Multi-View Texture Super-Resolution,
3DV19(533-543)
IEEE DOI 1911
Computational modeling, Surface reconstruction, Geometry, Image reconstruction, Texture, Variational Methods BibRef

Xiao, J., Zhao, R., Lai, S., Jia, W., Lam, K.,
Deep Progressive Convolutional Neural Network for Blind Super-Resolution With Multiple Degradations,
ICIP19(2856-2860)
IEEE DOI 1910
blind super-resolution, deep progressive network BibRef

Chen, B.X.[Bo-Xun], Liu, T.J.[Tsung-Jung], Liu, K.H.[Kuan-Hsien], Liu, H.H.[Hsin-Hua], Pei, S.C.[Soo-Chang],
Image Super-Resolution Using Complex Dense Block on Generative Adversarial Networks,
ICIP19(2866-2870)
IEEE DOI 1910
Super-resolution (SR), dense block, generative adversarial network (GAN), visual quality. BibRef

Aadil, M., Rahim, R., Hussain, S.U.,
Improving Super Resolution Methods Via Incremental Residual Learning,
ICIP19(2836-2840)
IEEE DOI 1910
Image Reconstruction, Convolutional Neural Networks, Residual Learning, Super Resolution BibRef

Shen, Y., Zhang, L., Wang, Z., Hao, X., Hou, Y.,
Multi-Level Residual Up-Projection Activation Network for Image Super-Resolution,
ICIP19(2841-2845)
IEEE DOI 1910
Super-Resolution, Deep Learning, Attention Mechanism, Residual Learning BibRef

Li, W.[Wen], Li, S.M.[Su-Mei], Liu, A.Q.[An-Qi],
Lightweight Image Super-Resolution Reconstruction With Hierarchical Feature-Driven Network,
ICIP20(573-577)
IEEE DOI 2011
Conferences, Computer vision, Pattern recognition, Europe, Indexes, Machine vision, Surface treatment, Super resolution, attention BibRef

Shi, Y.L.[Yong-Lian], Li, S.M.[Su-Mei], Li, W.[Wen], Liu, A.Q.[An-Qi],
Fast and Lightweight Image Super-Resolution Based on Dense Residuals Two-Channel Network,
ICIP19(2826-2830)
IEEE DOI 1910
Super-resolution reconstruction, grouped convolution, lightweight construction, residual BibRef

Noor, D.F.[Dewan Fahim], Li, L.[Li], Li, Z.[Zhu], Bhattacharyya, S.[Shuvra],
Multi-Frame Super Resolution with Deep Residual Learning on Flow Registered Non-Integer Pixel Images,
ICIP19(2164-2168)
IEEE DOI 1910
Super-resolution, sub-pixel registration, bilateral filter, deep residual learning BibRef

Bian, J.Y.[Jun-Yi], Lin, B.[Baojun], Zhang, K.[Ke],
Hybrid Function Sparse Representation Towards Image Super Resolution,
CAIP19(II:27-37).
Springer DOI 1909
BibRef

Dai, D.X.[Deng-Xin], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Jointly Optimized Regressors for Image Super-resolution,
EuroGraphics15(xx-yy).
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Michelini, P.N.[Pablo Navarrete], Zhu, D.[Dan], Liu, H.[Hanwen],
Multi-scale Recursive and Perception-Distortion Controllable Image Super-Resolution,
PerceptualRest18(V:3-19).
Springer DOI 1905
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Chowdhury, D., Androutsos, D.,
Single Image Super-Resolution via Cascaded Parallel Multisize Receptive Field,
ICIP19(2861-2865)
IEEE DOI 1910
Image Super Resolution, Convolution Neural Network, Receptive Field, Cascaded Parallel Block, Residual Block BibRef

Seif, G., Androutsos, D.,
Large Receptive Field Networks for High-Scale Image Super-Resolution,
Restoration18(876-87609)
IEEE DOI 1812
Kernel, Image resolution, Convolutional codes, Convolution, Signal resolution, Memory management, Computer vision BibRef

Jeon, D.S., Baek, S., Choi, I., Kim, M.H.,
Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior,
CVPR18(1721-1730)
IEEE DOI 1812
Spatial resolution, Image reconstruction, Imaging, Color, Image color analysis, Training BibRef

Ahn, N.[Namhyuk], Kang, B.[Byungkon], Sohn, K.A.[Kyung-Ah],
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network,
ECCV18(X: 256-272).
Springer DOI 1810
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And:
Image Super-Resolution via Progressive Cascading Residual Network,
Restoration18(904-9048)
IEEE DOI 1812
Training, Image resolution, Task analysis, Convolution, Image reconstruction, Automobiles BibRef

Wang, L., Qiu, L., Sui, W., Pan, C.,
Reconstructed Densenets for Image Super-Resolution,
ICIP18(3558-3562)
IEEE DOI 1809
Image reconstruction, Computational modeling, Image resolution, Convolution, Computational complexity, Training, Residual Learning BibRef

Unni, V.S., Chaudhury, K.N.,
Non-Local Patch-Based Regularization for Image Restoration,
ICIP18(1108-1112)
IEEE DOI 1809
TV, Computational modeling, Noise reduction, Image restoration, Optimization, Image resolution, Standards, regularization, patch, ADMM, super-resolution BibRef

Chang, C.Y.[Chia-Yang], Chien, S.Y.[Shao-Yi],
Back-Projection Lightweight Network for Accurate Image Super Resolution,
ACCV18(V:135-151).
Springer DOI 1906
BibRef

Chang, C.Y.[Chia-Yang], Tu, W.C.[Wei-Chih], Chien, S.Y.[Shao-Yi],
Optimized Regressor Forest for Image Super-Resolution,
BMVC16(xx-yy).
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Hu, Y., Liu, J., Yang, W., Deng, S., Zhang, L., Guo, Z.,
Real-time deep image super-resolution via global context aggregation and local queue jumping,
VCIP17(1-4)
IEEE DOI 1804
image resolution, learning (artificial intelligence), GLNet, deep learning, deep network, first-layer feature map, Real-Time Image Super-Resolution BibRef

Liu, H., Xiong, R., Song, Q., Wu, F., Gao, W.,
Image super-resolution based on adaptive joint distribution modeling,
VCIP17(1-4)
IEEE DOI 1804
gradient methods, image reconstruction, image resolution, learning (artificial intelligence), HR image reconstruction, non-local similarity BibRef

Köhler, T.[Thomas], Jordan, J.[Johannes], Maier, A.[Andreas], Hornegger, J.[Joachim],
A Unified Bayesian Approach to Multi-Frame Super-Resolution and Single-Image Upsampling in Multi-Sensor Imaging,
BMVC15(xx-yy).
DOI Link 1601
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Cuellar-Fierro, J.F.[Jhon F.], Vargas-Cardona, H.D.[Hernán Darío], Álvarez, A.M.[Andrés M.], Orozco, Á.A.[Álvaro A.], Álvarez, M.A.[Mauricio A.],
Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields,
ISVC18(371-381).
Springer DOI 1811
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Earlier: A1, A2, A5, A3, A4:
Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields,
CIARP17(168-176).
Springer DOI 1802
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Vargas-Cardona, H.D.[Hernán Darío], Álvarez, M.A.[Mauricio A.], Orozco, Á.A.[Álvaro A.],
Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields,
ISVC15(II: 499-508).
Springer DOI 1601
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Gao, Q.Q.[Qin-Quan], Zhao, Y.[Yan], Li, G.[Gen], Tong, T.[Tong],
Image Super-Resolution Using Knowledge Distillation,
ACCV18(II:527-541).
Springer DOI 1906
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Tong, T.[Tong], Li, G.[Gen], Liu, X.J.[Xie-Jie], Gao, Q.Q.[Qin-Quan],
Image Super-Resolution Using Dense Skip Connections,
ICCV17(4809-4817)
IEEE DOI 1802
image reconstruction, image resolution, image sampling, learning (artificial intelligence), neural nets, Training BibRef

Dahl, R., Norouzi, M., Shlens, J.,
Pixel Recursive Super Resolution,
ICCV17(5449-5458)
IEEE DOI 1802
image reconstruction, image resolution, given low resolution image, high magnification factors, Training BibRef

Sharma, M.[Manoj], Chaudhury, S.[Santanu], Lall, B.[Brejesh],
Space-Time Super-Resolution Using Deep Learning Based Framework,
PReMI17(582-590).
Springer DOI 1711
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Klatzer, T.[Teresa], Soukup, D.[Daniel], Kobler, E.[Erich], Hammernik, K.[Kerstin], Pock, T.[Thomas],
Trainable Regularization for Multi-frame Superresolution,
GCPR17(90-100).
Springer DOI 1711
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Tan, H.L.[Han-Lin], Xiao, H.X.[Hua-Xin], Liu, Y.[Yu], Zhang, M.J.[Mao-Jun], Wang, B.[Bin],
LASSO approximation and application to image super-resolution with CUDA acceleration,
ICIVC17(483-488)
IEEE DOI 1708
Acceleration, Dictionaries, Graphics processing units, Image resolution, Inverse problems, Learning systems, Signal resolution, CUDA, LASSO, super-resolution BibRef

Malczewski, K.[Krzysztof],
Motion artifacts free image resolution enhancement exploiting image priors,
WSSIP17(1-4)
IEEE DOI 1707
Algorithm design and analysis, Estimation, Kernel, Signal resolution, Spatial resolution, image enhancement, super-resolution BibRef

Bodduna, K.[Kireeti], Weickert, J.[Joachim],
Evaluating Data Terms for Variational Multi-frame Super-Resolution,
SSVM17(590-601).
Springer DOI 1706
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Chen, X., Zhai, G., Wang, J., Hu, C., Chen, Y.,
Color guided thermal image super resolution,
VCIP16(1-4)
IEEE DOI 1701
Cameras BibRef

Mu, Y.Y.[Yan-Yan], Dimitrakopoulos, R.[Roussos], Ferrie, F.P.[Frank P.],
Generalizing Generative Models: Application to Image Super-Resolution,
CRV16(8-15)
IEEE DOI 1612
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Earlier: A1, A3, A2:
Sparse image reconstruction by two phase RBM learning: Application to mine planning,
MVA15(316-320)
IEEE DOI 1507
Computer vision. Location of ore bodies. Boltzmann machine. BibRef

Abolhassani, A.A.H., Dimitrakopoulos, R.[Roussos], Ferrie, F.P.[Frank P.],
Anisotropic Interpolation of Sparse Images,
CRV16(440-447)
IEEE DOI 1612
anisotropic interpolation BibRef

Gupta, A., Johnson, J.[Justin], Alahi, A.[Alexandre], Fei-Fei, L.[Li],
Characterizing and Improving Stability in Neural Style Transfer,
ICCV17(4087-4096)
IEEE DOI 1802
matrix algebra, recurrent neural nets, video signal processing, Gram matrix representing style, neural style transfer, Videos BibRef

Johnson, J.[Justin], Alahi, A.[Alexandre], Fei-Fei, L.[Li],
Perceptual Losses for Real-Time Style Transfer and Super-Resolution,
ECCV16(II: 694-711).
Springer DOI 1611
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Tao, Y., Muller, J.P.,
Quantitative Assessment Of A Novel Super-resolution Restoration Technique Using Hirise With Navcam Images: How Much Resolution Enhancement Is Possible From Repeat-pass Observations,
ISPRS16(B4: 503-509).
DOI Link 1610
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Qu, C., Luo, D., Monari, E., Schuchert, T., Beyerer, J.,
Capturing ground truth super-resolution data,
ICIP16(2812-2816)
IEEE DOI 1610
Cameras BibRef

Bätz, M., Eichenseer, A., Kaup, A.,
Multi-image super-resolution using a dual weighting scheme based on Voronoi tessellation,
ICIP16(2822-2826)
IEEE DOI 1610
Image restoration BibRef

Dai, D., Wang, Y., Chen, Y., Van Gool, L.J.,
Is image super-resolution helpful for other vision tasks?,
WACV16(1-9)
IEEE DOI 1606
Image resolution BibRef

Bai, Y., Jia, H., Xie, X., Chen, R., Jiang, M., Gao, W.,
A fast super-resolution method based on sparsity properties,
VCIP15(1-4)
IEEE DOI 1605
Estimation BibRef

Zheng, H.T.[Hai-Tian], Ji, M.Q.[Meng-Qi], Wang, H.Q.[Hao-Qian], Liu, Y.B.[Ye-Bin], Fang, L.[Lu],
CrossNet: An End-to-End Reference-Based Super Resolution Network Using Cross-Scale Warping,
ECCV18(VI: 87-104).
Springer DOI 1810
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Gu, S., Meng, D., Zuo, W., Zhang, L.,
Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation,
ICCV17(1717-1725)
IEEE DOI 1802
image denoising, image representation, image texture, ASR, JCAS model, SSR, analysis sparse representation, Rain BibRef

Gu, S., Zuo, W., Xie, Q., Meng, D., Feng, X., Zhang, L.,
Convolutional Sparse Coding for Image Super-Resolution,
ICCV15(1823-1831)
IEEE DOI 1602
Convolution BibRef

Jiang, X.W.[Xin-Wei], Yang, J.[Jie], Ma, L.[Lei], Yang, Y.P.[Yi-Ping],
Multi-task Gaussian Process Regression-based Image Super Resolution,
BMVC15(xx-yy).
DOI Link 1601
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Hirao, D.[Daiki], Iyatomi, H.[Hitoshi],
Prototype of Super-Resolution Camera Array System,
ISVC15(I: 911-920).
Springer DOI 1601
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Markopoulos, P.P.[Panos P.], Kundu, S.[Sandipan], Pados, D.A.[Dimitris A.],
L1-fusion: Robust linear-time image recovery from few severely corrupted copies,
ICIP15(1225-1229)
IEEE DOI 1512
Image recovery BibRef

Liang, Y.[Yudong], Wang, J.[Jinjun], Zhang, S.[Shizhou], Gong, Y.H.[Yi-Hong],
Incorporating image degeneration modeling with multitask learning for image super-resolution,
ICIP15(2110-2114)
IEEE DOI 1512
autoencoder; degeneration modeling; multitask learning; super-resolution BibRef

Tang, H.X.[Hui-Xuan], Zhang, X.P.[Xiao-Peng], Zhuo, S.J.[Shao-Jie], Chen, F.[Feng], Kutulakos, K.N., Shen, L.[Liang],
High Resolution Photography with an RGB-Infrared Camera,
ICCP15(1-10)
IEEE DOI 1511
colour photography BibRef

Kang, C.[Chulmoo], Hong, M.[Minui], Yoo, S.I.[Suk I.],
Learning Texture Image Prior for Super Resolution Using Restricted Boltzmann Machine,
CIAP15(I:215-224).
Springer DOI 1511
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Prasoon, A.[Adhish], Chaubey, H.[Himanshu], Gupta, A.[Abhinav], Garg, R.[Rohit], Chaudhury, S.[Santanu],
A Novel Approach for Image Super Resolution Using Kernel Methods,
PReMI15(126-135).
Springer DOI 1511
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Lee, H.S.[Hyun-Seung],
A new image super resolution by texture transfer,
ICIP14(3915-3918)
IEEE DOI 1502
Discrete cosine transforms BibRef

Xu, J.[Jian], Qi, C.[Chun], Chang, Z.G.[Zhi-Guo],
Coupled K-SVD dictionary training for super-resolution,
ICIP14(3910-3914)
IEEE DOI 1502
Approximation algorithms BibRef

Lin, S.[Sina], Qin, Z.C.[Zeng-Chang], Liao, R.J.[Ren-Jie], Wan, T.[Tao],
A confidence growing model for super-resolution,
ICIP14(3929-3933)
IEEE DOI 1502
Dictionaries BibRef

Hu, W.[Wei], Cheung, G.[Gene], Li, X.[Xin], Au, O.C.[Oscar C.],
Graph-based joint denoising and super-resolution of generalized piecewise smooth images,
ICIP14(2056-2060)
IEEE DOI 1502
Image resolution BibRef

Cho, C.H.[Chang-Hun], Jeon, J.H.[Jae-Hwan], Paik, J.[Joonki],
Example-based super-resolution using self-patches and approximated constrained least squares filter,
ICIP14(2140-2144)
IEEE DOI 1502
Degradation BibRef

Hidane, M., Aujol, J.F., Berthoumieu, Y., Deledalle, C.A.,
Super-resolution from a low- and partial high-resolution image pair,
ICIP14(2145-2149)
IEEE DOI 1502
Image reconstruction BibRef

Singh, A.[Abhishek], Ahuja, N.[Narendra],
Super-Resolution Using Sub-Band Self-Similarity,
ACCV14(II: 552-568).
Springer DOI 1504
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And:
Sub-band Energy Constraints for Self-Similarity Based Super-resolution,
ICPR14(4447-4452)
IEEE DOI 1412
Attenuation BibRef

Goto, T.[Tomio], Fukuoka, T.[Takafumi], Nagashima, F.[Fumiya], Hirano, S.[Satoshi], Sakurai, M.[Masaru],
Super-resolution System for 4K-HDTV,
ICPR14(4453-4458)
IEEE DOI 1412
Electric shock BibRef

Hsiao, W.T.[Wei-Tsung], Leou, J.J.[Jing-Jang], Hsiao, H.H.[Han-Hui],
Super-resolution Reconstruction for Binocular 3D Data,
ICPR14(4206-4211)
IEEE DOI 1412
Computational modeling BibRef

Oberdorster, A., Favaro, P., Lensch, H.P.A.,
Anamorphic pixels for multi-channel superresolution,
ICCP14(1-10)
IEEE DOI 1411
image reconstruction BibRef

Shi, B.[Boxin], Zhao, H.[Hang], Ben-Ezra, M.[Moshe], Yeung, S.K.[Sai-Kit], Fernandez-Cull, C.[Christy], Shepard, R.H.[R. Hamilton], Barsi, C.[Christopher], Raskar, R.[Ramesh],
Sub-pixel Layout for Super-Resolution with Images in the Octic Group,
ECCV14(I: 250-264).
Springer DOI 1408
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Wang, Z.Y.[Zhang-Yang], Yang, Y., Yang, J.C.[Jian-Chao], Huang, T.S.[Thomas S.],
Designing a composite dictionary adaptively from joint examples,
VCIP15(1-4)
IEEE DOI 1605
Adaptation models BibRef

Wang, Z.Y.[Zhang-Yang], Wang, Z.W.[Zhao-Wen], Chang, S.Y.[Shi-Yu], Yang, J.C.[Jian-Chao], Huang, T.S.[Thomas S.],
A joint perspective towards image super-resolution: Unifying external- and self-examples,
WACV14(596-603)
IEEE DOI 1406
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Zuckerman, L.P.[Liad Pollak], Naor, E.[Eyal], Pisha, G.[George], Bagon, S.[Shai], Irani, M.[Michal],
Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning,
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Springer DOI 2011
BibRef

Shocher, A., Cohen, N., Irani, M.,
Zero-Shot Super-Resolution Using Deep Internal Learning,
CVPR18(3118-3126)
IEEE DOI 1812
Kernel, Training, Image resolution, Databases, Entropy, Data mining BibRef

Bahat, Y., Michaeli, T.[Tomer],
Explorable Super Resolution,
CVPR20(2713-2722)
IEEE DOI 2008
Image resolution, Image reconstruction, Heart rate, Graphical user interfaces, Neural networks, Impedance matching BibRef

Michaeli, T.[Tomer], Irani, M.[Michal],
Nonparametric Blind Super-resolution,
ICCV13(945-952)
IEEE DOI 1403
BibRef

Ho-Phuoc, T.[Tien], Dupret, A.[Antoine], Alacoque, L.[Laurent],
Super resolution method adapted to spatial contrast,
ICIP13(976-980)
IEEE DOI 1402
Image reconstruction BibRef

Sakurai, M.[Masaru], Sakuta, Y.[Yasuhiro], Watanabe, M.[Masashi], Goto, T.[Tomio], Hirano, S.[Satoshi],
Super-resolution through non-linear enhancement filters,
ICIP13(854-858)
IEEE DOI 1402
Electric shock BibRef

Ono, S.[Shunsuke], Yamada, I.[Isao],
Optimized JPEG image decompression with super-resolution interpolation using multi-order total variation,
ICIP13(474-478)
IEEE DOI 1402
Discrete cosine transforms BibRef

Gao, J.B.[Jun-Bin], Guo, Y.[Yi], Yin, M.[Ming],
Restricted Boltzmann machine approach to couple dictionary training for image super-resolution,
ICIP13(499-503)
IEEE DOI 1402
Dictionaries BibRef

Sun, L.B.[Li-Bin], Hays, J.,
Super-resolution from internet-scale scene matching,
ICCP12(1-12).
IEEE DOI 1208
BibRef

Park, Y.J.[Young-Jin], Yoo, S.I.[Suk I.],
Isotropic Huber MRFS for structure super-resolution,
ICIP11(1137-1140).
IEEE DOI 1201
BibRef

Sroubek, F.[Filip], Kamenicky, J.[Jan], Milanfar, P.[Peyman],
Superfast superresolution,
ICIP11(1153-1156).
IEEE DOI 1201
BibRef

Zhao, Y.[Ying], Shen, J.B.[Jian-Bing], He, Y.[Ying],
Subband Architecture Based Exposure Fusion,
PSIVT10(501-506).
IEEE DOI 1011
BibRef

Ploquin, M.[Marie], Kouame, D.[Denis],
Improvement of medical image resolution using an extended 2D factorized form complex number parametric model,
ICIP10(601-604).
IEEE DOI 1009
BibRef

Harmeling, S.[Stefan], Sra, S.[Suvrit], Hirsch, M.[Michael], Scholkopf, B.[Bernhard],
Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM,
ICIP10(3313-3316).
IEEE DOI 1009
See also Fast removal of non-uniform camera shake. BibRef

Hirsch, M.[Michael], Sra, S.[Suvrit], Scholkopf, B.[Bernhard], Harmeling, S.[Stefan],
Efficient filter flow for space-variant multiframe blind deconvolution,
CVPR10(607-614).
IEEE DOI 1006
BibRef
Earlier: A4, A1, A2, A3:
Online blind deconvolution for astronomical imaging,
ICCP09(1-7).
IEEE DOI 1208
BibRef

Kim, C.H.[Chang-Hyun], Choi, K.[Kyuha], Lee, H.Y.[Ho-Young], Hwang, K.Y.[Kyu-Young], Ra, J.B.[Jong Beom],
Robust learning-based super-resolution,
ICIP10(2017-2020).
IEEE DOI 1009
BibRef

Ozcelikkale, A.[Ayca], Akar, G.B.[Gozde B.], Ozaktas, H.M.[Haldun M.],
Super-resolution using multiple quantized images,
ICIP10(2029-2032).
IEEE DOI 1009
BibRef

Sun, J.[Jian], Zhu, J.J.[Jie-Jie], Tappen, M.F.[Marshall F.],
Context-constrained hallucination for image super-resolution,
CVPR10(231-238).
IEEE DOI 1006
Given initial set of high-low resolution image segments. BibRef

Shi, G.M.[Guang-Ming], Gao, D.H.[Da-Hua], Liu, D.H.[Dan-Hua], Wang, L.J.[Liang-Jun],
High resoluton image reconstruction: A new imager via movable random exposure,
ICIP09(1177-1180).
IEEE DOI 0911
Randomly fluttering shutter, moving camera. BibRef

Turgay, E.[Emre], Akar, G.B.[Gozde B.],
Directionally adaptive super-resolution,
ICIP09(1201-1204).
IEEE DOI 0911
BibRef

Buades, T., Lou, Y., Morel, J.M., Tang, Z.W.[Zhong-Wei],
A note on multi-image denoising,
LNLA09(1-15).
IEEE DOI 0908
BibRef

Ebrahimi, M., Vrscay, E.R., Martel, A.L.,
Coupled multi-frame super-resolution with diffusive motion model and total variation regularization,
LNLA09(62-69).
IEEE DOI 0908
BibRef

Mudugamuwa, D.J.[Damith J.], He, X.J.[Xiang-Jian], Ahn, C.H.[Chung-Hyun], Yang, J.[Jie],
Higher order prediction for sub-pixel motion estimation,
ICIP09(1585-1588).
IEEE DOI 0911
BibRef

Mudugamuwa, D.J., He, X.J.[Xiang-Jian], Wei, D.M.[Da-Ming], Ahn, C.H.[Chung-Hyun],
Super-resolution by prediction based sub-pel motion estimation,
IVCNZ09(282-287).
IEEE DOI 0911
BibRef

Mudugamuwa, D.J.[Damith J.], Jia, W.J.[Wen-Jing], He, X.J.[Xiang-Jian],
Asymmetric, Non-unimodal Kernel Regression for Image Processing,
DICTA10(141-145).
IEEE DOI 1012
BibRef

Zhan, Q.F.[Qiu-Fang], Gao, X.M.[Xiu-Min], Li, J.S.[Jin-Song], Zhuang, S.L.[Song-Lin],
Resolution Enhancement in High Numerical Aperture Optical System,
CISP09(1-5).
IEEE DOI 0910
BibRef

Ma, Y.J.[Yan-Jie], Zhang, H.[Hua], Xue, Y.B.[Yan-Bing],
A Novel Super-Resolution Image Reconstruction Based on MRF,
CISP09(1-4).
IEEE DOI 0910
BibRef

Jin, Z.[Zhang], Zhong, W.[Wang], Hui, Z.G.[Zhou Guang], Hua, Y.S.[Ye Sheng],
Research of Super-Resolution Reconstruction Based on Multi-Images of Random Micro-Offset,
CISP09(1-5).
IEEE DOI 0910
BibRef

Hou, P.[Peng], Xu, W.H.[Wen-Hai],
Super Resolution Time Delay Estimation for Underwater Acoustic Sinusoidal Signals,
CISP09(1-6).
IEEE DOI 0910
BibRef

Ebrahimi, M.[Mehran], Martel, A.L.[Anne L.],
A PDE Approach to Coupled Super-Resolution with Non-parametric Motion,
EMMCVPR09(112-125).
Springer DOI 0908
BibRef

Toronto, N.[Neil], Morse, B.S.[Bryan S.], Seppi, K.[Kevin], Ventura, D.[Dan],
Super-resolution via recapture and Bayesian effect modeling,
CVPR09(2388-2395).
IEEE DOI 0906
BibRef

Liu, Y.[Ying], Fieguth, P.W.[Paul W.],
Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction,
EMMCVPR09(70-83).
Springer DOI 0908
BibRef
And:
Image Resolution Enhancement with Hierarchical Hidden Fields,
ICIAR09(73-82).
Springer DOI 0907
BibRef

Ni, K.S.[Karl S.], Nguyen, T.Q.[Truong Q.],
Color Image Superresolution Based on a Stochastic Combinational Classification-Regression Algorithm,
ICIP07(II: 89-92).
IEEE DOI 0709
BibRef

Kimura, K.[Kazuto], Nagai, T.[Takayuki], Nagayoshi, H.[Hiroto], Sako, H.[Hiroshi],
Simultaneous Estimation of Super-Resolved Image and 3D Information using Multiple Stereo-Pair Images,
ICIP07(V: 417-420).
IEEE DOI 0709
BibRef

Qiao, J.P.[Jian-Ping], Liu, J.[Ju],
HOS-Based Image Super-Resolution Reconstruction,
MCAM07(213-222).
Springer DOI 0706
BibRef

Chatterjee, P.[Priyam], Namboodiri, V.P.[Vinay P.], Chaudhuri, S.[Subhasis],
Super-Resolution Using Sub-band Constrained Total Variation,
SSVM07(616-627).
Springer DOI 0705
BibRef

Damera-Venkata, N.[Niranjan], hang, N.L.C.[Nelson L.C],
On the Resolution Limits of Superimposed Projection,
ICIP07(V: 373-376).
IEEE DOI 0709
BibRef
And:
Realizing Super-Resolution with Superimposed Projection,
PROCAMS07(1-8).
IEEE DOI 0706
BibRef

Lv, J.Y.[Jie-Yong], Hao, P.W.[Peng-Wei],
In-Focus Imaging by Mosaicking and Super-Resolution,
ICIP06(2689-2692).
IEEE DOI 0610
BibRef

van Eekeren, A., Schutte, K., Dijk, J., de Lange, D.J.J., van Vliet, L.J.,
Super-Resolution on Moving Objects and Background,
ICIP06(2709-2712).
IEEE DOI 0610
BibRef

Or, S.H.[Siu Hang], Yu, Y.K.[Ying Kin], Wong, K.H.[Kin Hong], Chang, M.M.Y.,
Resolution Improvement from Stereo Images with 3D Pose Differences,
ICIP06(1733-1736).
IEEE DOI 0610
BibRef
And: A2, A3, A4, A1:
Computing Pose Sequences Directly from Videos,
ICIP06(2773-2776).
IEEE DOI 0610
BibRef

Lian, H.[Heng],
Variational Local Structure Estimation for Image Super-Resolution,
ICIP06(1721-1724).
IEEE DOI 0610
BibRef

El-Hakim, S.,
A sequential approach to capture fine geometric details from images,
IEVM06(xx-yy).
PDF File. 0609
BibRef

Sasahara, R., Hasegawa, H., Yamada, I., Sakaniwa, K.,
A Color Super-Resolution with Multiple Nonsmooth Constraints by Hybrid Steepest Descent Method,
ICIP05(I: 857-860).
IEEE DOI 0512
BibRef

Chen, M.[Mei],
Dynamic Content Adaptive Super-Resolution,
ICIAR04(I: 220-227).
Springer DOI 0409
BibRef

Yoakeim, R., Taubman, D.S.,
Quantitative analysis of resolution synthesis,
ICIP04(III: 1645-1648).
IEEE DOI 0505
BibRef

Zhao, W.Y.[Wen-Yi],
Super-resolution with significant illumination change,
ICIP04(III: 1771-1774).
IEEE DOI 0505
BibRef

Wagner, R., Nowak, R.D., Baraniuk, R.G.,
Distributed image compression for sensor networks using correspondence analysis and super-resolution,
ICIP03(I: 597-600).
IEEE DOI 0312
BibRef

Zhao, W., Sawhney, H., Hansen, M.W., Samarasekera, S.,
Super-fusion: a super-resolution method based on fusion,
ICPR02(II: 269-272).
IEEE DOI 0211
BibRef

Kämpke, T.[Thomas], Elfes, A.[Alberto], Schiekel, C.[Christian],
Estimation of Superresolution Images Using Causal Networks: The One-dimensional Case,
ICPR00(Vol I: 584-587).
IEEE DOI 0009
BibRef

Burt, P.J., and Kolczynski, R.J.,
Enhanced Image Capture Through Fusion,
ICCV93(173-182).
IEEE DOI Get better images using the multiple frames and fusing the series of images. BibRef 9300

Singh, A.,
Incremental Image Sequence Enhancement with Implicit Motion Compensation,
ICCV93(314-319).
IEEE DOI BibRef 9300

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Super Resolution for Hyperspectral Data .


Last update:Nov 23, 2020 at 10:27:11