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 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.

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

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

Lu, Y.[Yao], Inamura, M.[Minoru], del Carmen Valdes, M.[Maria],
Super-resolution of the undersampled and subpixel shifted image sequence by a neural network,
IJIST(14), No. 1, 2004, pp. 8-15.
DOI Link 0406
BibRef

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

Miravet, C.[Carlos], Rodriguez, F.B.[Francisco B.],
A two-step neural-network based algorithm for fast image super-resolution,
IVC(25), No. 9, 1 September 2007, pp. 1449-1473.
WWW Link. 0707
Super-resolution; Multi-layer perceptron; Probabilistic neural network; Sequence processing; Image restoration BibRef

Miravet, C.[Carlos], Rodriguez, F.B.[Francisco B.],
A PCA-based super-resolution algorithm for short image sequences,
ICIP10(2025-2028).
IEEE DOI 1009
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., Gao, D., Song, X., Xie, X., Chen, X., Liu, D.,
High-Resolution Imaging Via Moving Random Exposure and Its Simulation,
IP(20), No. 1, January 2011, pp. 276-282.
IEEE DOI 1101
BibRef

Agrawal, D., Singhai, J.,
Multifocus image fusion using modified pulse coupled neural network for improved image quality,
IET-IPR(4), No. 6, December 2010, pp. 443-451.
DOI Link 1101
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

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

Simoes, M., Bioucas-Dias, J., Almeida, L.B., Chanussot, J.,
A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization,
GeoRS(53), No. 6, June 2015, pp. 3373-3388.
IEEE DOI 1503
geophysical image processing 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

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

Dong, C.[Chao], Loy, C.C.[Chen Change], He, K.[Kaiming], Tang, X.[Xiaoou],
Image Super-Resolution Using Deep Convolutional Networks,
PAMI(38), No. 2, February 2016, pp. 295-307.
IEEE DOI 1601
BibRef
Earlier:
Learning a Deep Convolutional Network for Image Super-Resolution,
ECCV14(IV: 184-199).
Springer DOI 1408
Convolutional codes See also Compression Artifacts Reduction by a Deep Convolutional Network. BibRef

Dong, C.[Chao], Loy, C.C.[Chen Change], Tang, X.[Xiaoou],
Accelerating the Super-Resolution Convolutional Neural Network,
ECCV16(II: 391-407).
Springer DOI 1611
BibRef

Hui, T.W.[Tak-Wai], Loy, C.C.[Chen Change], Tang, X.[Xiaoou],
Depth Map Super-Resolution by Deep Multi-Scale Guidance,
ECCV16(III: 353-369).
Springer DOI 1611
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
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
BibRef

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

Dong, W., Fu, F., Shi, G., Cao, X., Wu, J., Li, G., Li, X.,
Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation,
IP(25), No. 5, May 2016, pp. 2337-2352.
IEEE DOI 1604
Dictionaries 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

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
BibRef

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

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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

Wang, L.F.[Ling-Feng], Huang, Z.[Zehao], Gong, Y.C.[Yong-Chao], Pan, C.H.[Chun-Hong],
Ensemble based deep networks for image super-resolution,
PR(68), No. 1, 2017, pp. 191-198.
Elsevier DOI 1704
Super-resolution BibRef

Yoon, Y., Jeon, H.G., Yoo, D., Lee, J.Y.[Joon-Young], Kweon, I.S.[In So],
Light-Field Image Super-Resolution Using Convolutional Neural Network,
SPLetters(24), No. 6, June 2017, pp. 848-852.
IEEE DOI 1705
BibRef
Earlier:
Learning a Deep Convolutional Network for Light-Field Image Super-Resolution,
CVPV15(57-65)
IEEE DOI 1602
Cameras, Convolution, Neural networks, Signal resolution, Spatial resolution, Training, Convolutional neural network, light-field (LF) image super-resolution (SR). Cameras; Image restoration; Lenses; Neural networks; Spatial resolution 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


Ren, H., El-Khamy, M., Lee, J.,
Image Super Resolution Based on Fusing Multiple Convolution Neural Networks,
NTIRE17(1050-1057)
IEEE DOI 1709
Convolution, Image resolution, Kernel, Neural networks, Training, Tuning BibRef

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
BibRef

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
BibRef
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

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
BibRef

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
BibRef

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

Wu, J., Wang, H., Wang, X., Zhang, Y.,
A novel light field super-resolution framework based on hybrid imaging system,
VCIP15(1-4)
IEEE DOI 1605
Cameras 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
BibRef

Hirao, D.[Daiki], Iyatomi, H.[Hitoshi],
Prototype of Super-Resolution Camera Array System,
ISVC15(I: 911-920).
Springer DOI 1601
BibRef

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
BibRef

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
BibRef

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
BibRef
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

Cui, Z.[Zhen], Chang, H.[Hong], Shan, S.G.[Shi-Guang], Zhong, B.[Bineng], Chen, X.L.[Xi-Lin],
Deep Network Cascade for Image Super-resolution,
ECCV14(V: 49-64).
Springer DOI 1408
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
BibRef

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.[Shiyu], 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
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

Nakashima, R.[Ryo], Takahashi, K.[Keita], Naemura, T.[Takeshi],
Theoretical Analysis of Multi-view Camera Arrangement and Light-Field Super-Resolution,
PSIVT11(I: 407-420).
Springer DOI 1111
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

Lim, J.G.[Jae-Guyn], Ok, H.W.[Hyun-Wook], Park, B.K.[Byung-Kwan], Kang, J.Y.[Joo-Young], Lee, S.D.[Seong-Deok],
Improving the spatail resolution based on 4D light field data,
ICIP09(1173-1176).
IEEE DOI 0911
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

Ma, L.[Lin], Zhang, Y.H.[Yong-Hua], Lu, Y.[Yan], Wu, F.[Feng], Zhao, D.B.[De-Bin],
Three-tiered network model for image hallucination,
ICIP08(357-360).
IEEE DOI 0810
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], Chang, N.L.[Nelson L.],
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
Registration for Super Resolution .


Last update:Sep 18, 2017 at 11:34:11