18.4.3.2 Single Image Super Resolution

Chapter Contents (Back)
Super Resolution. Single Image Super Resolution. Clearly overlap with the main section and the blur sections. See also Document Quality Enhancement, Super Resolution Evaluation.

Koike, K.[Kazumasa],
Image processor which converts image with poor resolution into image with improved resolution,
US_Patent5,231,519, Jul 27, 1993
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Freeman, W.T.[William T.], Pasztor, E.C.[Egon C.],
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US_Patent6,263,103, Jul 17, 2001
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Salerno, E.,
Superresolution Capabilities of the Gerchberg Method in the Band-Pass Case: An Eigenvalue Analysis,
IJIST(9), No. 2-3, 1998, pp. 181-188. 9805
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Conchello, J.A.,
Superresolution and Convergence Properties of the Expectation-Maximization Algorithm for Maximum-Likelihood Deconvolution of Incoherent Images,
JOSA-A(15), No. 10, October 1998, pp. 2609-2619. 9810
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Cohen, B., Dinstein, I.,
Polyphase back-projection filtering for image resolution enhancement,
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Poulo, R.J.[Richard J.], Nguyen, V.X.[Vu X.], Bostrom, V.S.[Vareck S.], Gorman, W.L.[Walter L.],
Creating high resolution images,
US_Patent6,535,650, Mar 18, 2003
WWW Link. BibRef 0303

Pan, M.C.[Min-Cheng],
A novel blind super-resolution technique based on the improved Poisson maximum a posteriori algorithm,
IJIST(12), No. 6, 2002, pp. 239-246.
WWW Link. 0308
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Almansa, A.[Andrés], Durand, S.[Sylvain], Rougé, B.[Bernard],
Measuring and Improving Image Resolution by Adaptation of the Reciprocal Cell,
JMIV(21), No. 3, November 2004, pp. 235-279.
DOI Link 0410
BibRef

Narasimhan, S.G.[Srinivasa G.], Nayar, S.K.[Shree K.],
Enhancing Resolution Along Multiple Imaging Dimensions Using Assorted Pixels,
PAMI(27), No. 4, April 2005, pp. 518-530.
IEEE Abstract. 0501
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And: A2, A1:
Assorted Pixels: Multi-sampled Imaging with Structural Models,
ECCV02(IV: 636 ff.).
Springer DOI 0205
E.g. using the RGB sensors in a digital camera to enhance spatial resolution. BibRef

Gupta, M.[Mohit], Agrawal, A.[Amit], Veeraraghavan, A.[Ashok], Narasimhan, S.G.[Srinivasa G.],
Flexible Voxels for Motion-Aware Videography,
ECCV10(I: 100-114).
Springer DOI 1009
BibRef

Liu, D.Y.[Deng-Yu], Gu, J.W.[Jin-Wei], Hitomi, Y.[Yasunobu], Gupta, M.[Mohit], Mitsunaga, T.[Tomoo], Nayar, S.K.[Shree K.],
Efficient Space-Time Sampling with Pixel-Wise Coded Exposure for High-Speed Imaging,
PAMI(36), No. 2, February 2014, pp. 248-260.
IEEE DOI 1402
BibRef
Earlier: A3, A2, A4, A5, A6, Only:
Video from a single coded exposure photograph using a learned over-complete dictionary,
ICCV11(287-294).
IEEE DOI 1201
Sampling to get best of high resolution and video. CMOS image sensors for high speed videos. BibRef

Agrawal, A.[Amit], Gupta, M.[Mohit], Veeraraghavan, A.[Ashok], Narasimhan, S.G.[Srinivasa G.],
Optimal coded sampling for temporal super-resolution,
CVPR10(599-606).
IEEE DOI 1006
BibRef

Zhang, L.[Li], Vaddadi, S.[Sundeep], Jin, H.L.[Hai-Lin], Nayar, S.K.[Shree K.],
Multiple view image denoising,
CVPR09(1542-1549).
IEEE DOI 0906
Group similar patches from different views. BibRef

Yang, F., Lu, Y.M., Sbaiz, L., Vetterli, M.,
Bits From Photons: Oversampled Image Acquisition Using Binary Poisson Statistics,
IP(21), No. 4, April 2012, pp. 1421-1436.
IEEE DOI 1204
Each pixel in the sensor has a binary response BibRef

Jeon, B.W.[Bo-Won], Park, R.H.[Rae-Hong], Yang, S.J.[Seung-Joon],
Resolution Enhancement by Prediction of the High-Frequency Image Based on the Laplacian Pyramid,
JASP(2006), 2006, pp. 1-11.
WWW Link. 0603
BibRef

Prasad, S.[Sudhakar],
Digital superresolution and the generalized sampling theorem,
JOSA-A(24), No. 2, February 2007, pp. 311-325.
WWW Link. 0801
BibRef

Sawhney, H.S.[Harpreet S.], Guo, Y.L.[Yan-Lin], Kumar, R.[Rakesh], Hanna, K.J.[Keith J.], Bergen, J.R.[James R.],
Techniques and systems for developing high-resolution imagery,
US_Patent7,260,274, Aug 21, 2007
WWW Link. BibRef 0708

Baboulaz, L.[Loic], Dragotti, P.L.[Pier Luigi],
Exact Feature Extraction Using Finite Rate of Innovation Principles With an Application to Image Super-Resolution,
IP(18), No. 2, February 2009, pp. 281-298.
IEEE DOI 0901
BibRef
Earlier:
Local Feature Extraction for Image Super-Resolution,
ICIP07(V: 401-404).
IEEE DOI 0709
BibRef
Earlier:
Distributed Acquisition and Image Super-Resolution Based on Continuous Moments from Samples,
ICIP06(3309-3312).
IEEE DOI 0610
BibRef

Flaherty, F.A.[Francis A.],
Physically constrained Fourier transform deconvolution method,
JOSA-A(26), No. 5, May 2009, pp. 1191-1194.
WWW Link. 0905
FT for resolution enhancement. BibRef

Piles, M., Camps, A., Vall-llossera, M., Talone, M.,
Spatial-Resolution Enhancement of SMOS Data: A Deconvolution-Based Approach,
GeoRS(47), No. 7, July 2009, pp. 2182-2192.
IEEE DOI 0906
Soil Moisture and Ocean Salinity BibRef

Kim, K.I.[Kwang In], Kwon, Y.H.[Young-Hee],
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior,
PAMI(32), No. 6, June 2010, pp. 1127-1133.
IEEE DOI 1004
BibRef
Earlier:
Example-Based Learning for Single-Image Super-Resolution,
DAGM08(xx-yy).
Springer DOI 0806
Learn a map from low resolution images to target high resolution images based on examples of input and output images. BibRef

Kwon, Y.H.[Young-Hee], Kim, K.I.[Kwang In], Tompkin, J., Kim, J.H.[Jin H.], Theobalt, C.[Christian],
Efficient Learning of Image Super-Resolution and Compression Artifact Removal with Semi-Local Gaussian Processes,
PAMI(37), No. 9, September 2015, pp. 1792-1805.
IEEE DOI 1508
BibRef
Earlier: A1, A2, A4, A5, Only:
Efficient Learning-based Image Enhancement: Application to Super-resolution and Compression Artifact Removal,
BMVC12(14).
DOI Link 1301
Approximation methods BibRef

Park, J.K.[Jang-Kyun], Kwon, Y.H.[Young-Hee], Kim, J.H.[Jin Hyung],
An example-based prior model for text image super-resolution,
ICDAR05(I: 374-378).
IEEE DOI 0508
BibRef

Shen, M.M.[Min-Min], Wang, C.[Ci], Xue, P.[Ping], Lin, W.S.[Wei-Si],
Performance of reconstruction-based super-resolution with regularization,
JVCIR(21), No. 7, October 2010, pp. 640-650.
Elsevier DOI 1003
Super-resolution; Reconstruction-based algorithms; Magnification factor; Regularization; Performance bound; Optimal regularization parameter; Condition number; PSF BibRef

Han, F.[Fei], Fang, X.Z.[Xiang-Zhong], Wang, C.[Ci],
Blind Super-resolution for Single Image Reconstruction,
PSIVT10(399-403).
IEEE DOI 1011
BibRef

Yang, J.C.[Jian-Chao], Wright, J.[John], Huang, T.S.[Thomas S.], Ma, Y.[Yi],
Image Super-Resolution Via Sparse Representation,
IP(19), No. 11, November 2010, pp. 2861-2873.
IEEE DOI 1011
BibRef
Earlier:
Image super-resolution as sparse representation of raw image patches,
CVPR08(1-8).
IEEE DOI 0806
Single image super-resolution based on sparse signal representation. Patch based. BibRef

Wang, Z.Y.[Zhang-Yang], Yang, Y.Z.[Ying-Zhen], Wang, Z.W.[Zhao-Wen], Chang, S.Y.[Shi-Yu], Yang, J.C.[Jian-Chao], Huang, T.S.,
Learning Super-Resolution Jointly From External and Internal Examples,
IP(24), No. 11, November 2015, pp. 4359-4371.
IEEE DOI 1509
image coding BibRef

Liu, D.[Ding], Wang, Z.Y.[Zhang-Yang], Wen, B., Yang, J.C.[Jian-Chao], Han, W.[Wei], Huang, T.S.[Thomas S.],
Robust Single Image Super-Resolution via Deep Networks With Sparse Prior,
IP(25), No. 7, July 2016, pp. 3194-3207.
IEEE DOI 1606
BibRef
Earlier: A2, A1, A4, A5, A6, Only:
Deep Networks for Image Super-Resolution with Sparse Prior,
ICCV15(370-378)
IEEE DOI 1602
image coding. Dictionaries BibRef

Liu, D.[Ding], Wang, Z.W.[Zhao-Wen], Nasrabadi, N.[Nasser], Huang, T.S.[Thomas S.],
Learning a Mixture of Deep Networks for Single Image Super-Resolution,
ACCV16(III: 145-156).
Springer DOI 1704
BibRef

Wang, Z.Y.[Zhang-Yang], Chang, S.Y.[Shi-Yu], Yang, Y.Z.[Ying-Zhen], Liu, D., Huang, T.S.[Thomas S.],
Studying Very Low Resolution Recognition Using Deep Networks,
CVPR16(4792-4800)
IEEE DOI 1612
BibRef

Wang, Z.Y.[Zhang-Yang], Yang, Y.Z.[Ying-Zhen], Wang, Z.W.[Zhao-Wen], Chang, S.Y.[Shi-Yu], Han, W.[Wei], Yang, J.C.[Jian-Chao], Huang, T.S.[Thomas S.],
Self-tuned deep super resolution,
DeepLearn15(1-8)
IEEE DOI 1510
Adaptation models BibRef

Wright, J., Ma, Y., Mairal, J., Sapiro, G., Huang, T.S., Yan, S.,
Sparse Representation for Computer Vision and Pattern Recognition,
PIEEE(98), No. 6, June 2010, pp. 1031-1044.
IEEE DOI 1006
BibRef

Wu, W.[Wei], Liu, Z.[Zheng], He, X.H.[Xiao-Hai],
Learning-based super resolution using kernel partial least squares,
IVC(29), No. 6, May 2011, pp. 394-406.
Elsevier DOI 1104
Learning-based super resolution; High resolution image; Kernel partial least squares; Residual image BibRef

Ren, C.[Chao], He, X.H.[Xiao-Hai], Teng, Q.[Qizhi], Wu, Y., Nguyen, T.Q.,
Single Image Super-Resolution Using Local Geometric Duality and Non-Local Similarity,
IP(25), No. 5, May 2016, pp. 2168-2183.
IEEE DOI 1604
computer vision BibRef

Ren, C.[Chao], He, X.H.[Xiao-Hai], Nguyen, T.Q.,
Single Image Super-Resolution via Adaptive High-Dimensional Non-Local Total Variation and Adaptive Geometric Feature,
IP(26), No. 1, January 2017, pp. 90-106.
IEEE DOI 1612
computational geometry BibRef

Chen, H.G.[Hong-Gang], He, X.H.[Xiao-Hai], Teng, Q.[Qizhi], Ren, C.[Chao],
Single image super resolution using local smoothness and nonlocal self-similarity priors,
SP:IC(43), No. 1, 2016, pp. 68-81.
Elsevier DOI 1604
Single image super resolution BibRef

Song, H.Y.[Hai-Ying], Qing, L.B.[Lin-Bo], Wu, Y.Y.[Yuan-Yuan], He, X.H.[Xiao-Hai],
Adaptive regularization-based space-time super-resolution reconstruction,
SP:IC(28), No. 7, 2013, pp. 763-778.
Elsevier DOI 1307
Super-resolution BibRef

Sun, J., Sun, J., Xu, Z.B.[Zong-Ben], Shum, H.Y.[Heung-Yeung],
Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement,
IP(20), No. 6, June 2011, pp. 1529-1542.
IEEE DOI 1106
BibRef

Sun, J.[Jian], Xu, Z.B.[Zong-Ben], Shum, H.Y.[Heung-Yeung],
Image super-resolution using gradient profile prior,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Ben-Ezra, M.[Moshe], Lin, Z.C.[Zhou-Chen], Wilburn, B.[Bennett], Zhang, W.[Wei],
Penrose Pixels for Super-Resolution,
PAMI(33), No. 7, July 2011, pp. 1370-1383.
IEEE DOI 1106
BibRef
Earlier: A1, A2, A3, Only:
Penrose Pixels Super-Resolution in the Detector Layout Domain,
ICCV07(1-8).
IEEE DOI 0710
Use a periodic pixel tiling, Penrose or biological retina. BibRef

He, R.[Rui], Zhang, Z.Y.[Zhen-Yue],
Locally affine patch mapping and global refinement for image super-resolution,
PR(44), No. 9, September 2011, pp. 2210-2219.
Elsevier DOI 1106
Image super-resolution; Manifold learning; Tangent coordinate; Principal component analysis BibRef

Zhang, H.C.[Hai-Chao], Zhang, Y.N.[Yan-Ning], Li, H., Huang, T.S.[Thomas S.],
Generative Bayesian Image Super Resolution With Natural Image Prior,
IP(21), No. 9, September 2012, pp. 4054-4067.
IEEE DOI 1208
BibRef
And:
Bayesian image separation with natural image prior,
ICIP12(2097-2100).
IEEE DOI 1302
BibRef
Earlier:
Sparse representation based iterative incremental image deblurring,
ICIP09(1293-1296).
IEEE DOI 0911
BibRef

Zhang, H.C.[Hai-Chao], Yang, J.C.[Jian-Chao], Zhang, Y.N.[Yan-Ning], Huang, T.S.[Thomas S.],
Image and Video Restorations via Nonlocal Kernel Regression,
Cyber(43), No. 3, 2013, pp. 1035-1046.
IEEE DOI 1307
BibRef
Earlier:
Multi-scale Non-Local Kernel Regression for super resolution,
ICIP11(1353-1356).
IEEE DOI 1201
BibRef
Earlier:
Non-Local Kernel Regression for Image and Video Restoration,
ECCV10(III: 566-579).
Springer DOI 1009
image denoising; video signal processing; image deblurring; local structural regularity properties; video superresolution reconstruction BibRef

Guo, L.[Lv], Li, Y.[Yin], Yang, J.[Jie], Lu, L.[Li],
Exploration into Single Image Super-Resolution via Self Similarity by Sparse Representation,
IEICE(E93-D), No. 11, November 2010, pp. 3144-3148.
WWW Link. 1011
BibRef

Gao, X.B.[Xin-Bo], Wang, Q.[Qian], Li, X.L.[Xue-Long], Tao, D.C.[Da-Cheng], Zhang, K.[Kaibing],
Zernike-Moment-Based Image Super Resolution,
IP(20), No. 10, October 2011, pp. 2738-2747.
IEEE DOI 1110
See also Relay Level Set Method for Automatic Image Segmentation, A. BibRef

Bouzari, H.[Hamed],
An improved regularization method for artifact rejection in image super-resolution,
SIViP(6), No. 1, March 2012, pp. 125-140.
WWW Link. 1203
BibRef

Gao, X.B.[Xin-Bo], Zhang, K.B.[Kai-Bing], Tao, D.C.[Da-Cheng], Li, X.L.[Xue-Long],
Joint Learning for Single-Image Super-Resolution via a Coupled Constraint,
IP(21), No. 2, February 2012, pp. 469-480.
IEEE DOI 1201
BibRef

Zhang, K.B.[Kai-Bing], Tao, D.C.[Da-Cheng], Gao, X.B.[Xin-Bo], Li, X.L.[Xue-Long], Xiong, Z.G.[Zeng-Gang],
Learning Multiple Linear Mappings for Efficient Single Image Super-Resolution,
IP(24), No. 3, March 2015, pp. 846-861.
IEEE DOI 1502
BibRef
Earlier: A1, A3, A2, A4, Only:
Multi-scale dictionary for single image super-resolution,
CVPR12(1114-1121).
IEEE DOI 1208
image resolution BibRef

Zhang, K.B.[Kai-Bing], Gao, X.B.[Xin-Bo], Tao, D.C.[Da-Cheng], Li, X.L.[Xue-Long],
Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression,
IP(21), No. 11, November 2012, pp. 4544-4556.
IEEE DOI 1210
BibRef

Zhang, K.B.[Kai-Bing], Gao, X.B.[Xin-Bo], Tao, D.C.[Da-Cheng], Li, X.L.[Xue-Long],
Image Super-Resolution Via Non-Local Steering Kernel Regression Regularization,
ICIP13(943-946)
IEEE DOI 1402
Estimation BibRef

Gao, X.B.[Xin-Bo], Zhang, K.B.[Kai-Bing], Tao, D.C.[Da-Cheng], Li, X.L.[Xue-Long],
Image Super-Resolution with Sparse Neighbor Embedding,
IP(21), No. 7, July 2012, pp. 3194-3205.
IEEE DOI 1206
BibRef

Wang, H.J.[Hai-Jun], Gao, X.B.[Xin-Bo], Zhang, K.B.[Kai-Bing], Li, J.[Jie],
Single-Image Super-Resolution Using Active-Sampling Gaussian Process Regression,
IP(25), No. 2, February 2016, pp. 935-948.
IEEE DOI 1601
Computational modeling BibRef

Wang, H.J.[Hai-Jun], Gao, X.B.[Xin-Bo], Zhang, K.B.[Kai-Bing], Li, J.[Jie],
Single Image Super-Resolution Using Gaussian Process Regression With Dictionary-Based Sampling and Student-t Likelihood,
IP(26), No. 7, July 2017, pp. 3556-3568.
IEEE DOI 1706
Computational modeling, Dictionaries, Ground penetrating radar, Image reconstruction, Image resolution, Kernel, Training, Gaussian process regression, Super-resolution, dictionary-based sampling, student-t, likelihood BibRef

Lu, X.Q.[Xiao-Qiang], Zheng, X.T.[Xiang-Tao], Li, X.L.[Xue-Long],
Latent Semantic Minimal Hashing for Image Retrieval,
IP(26), No. 1, January 2017, pp. 355-368.
IEEE DOI 1612
feature extraction BibRef

Lu, X.Q.[Xiao-Qiang], Yuan, H.L.[Hao-Liang], Yan, P.K.[Ping-Kun], Yuan, Y.[Yuan], Li, X.L.[Xue-Long],
Geometry Constrained Sparse Coding for Single Image Super-Resolution,
CVPR12(1648-1655).
IEEE DOI 1208
BibRef

Mu, G.W.[Guang-Wu], Gao, X.B.[Xin-Bo], Zhang, K.B.[Kai-Bing], Li, X.L.[Xue-Long], Tao, D.C.[Da-Cheng],
Single Image Super Resolution with High Resolution Dictionary,
ICIP11(1141-1144).
IEEE DOI 1201
BibRef

Zhang, Y.L.[Yu-Lun], Gu, K.[Kaiyu], Zhang, Y.B.[Yong-Bing], Zhang, J.[Jian], Dai, Q.H.[Qiong-Hai],
Image super-resolution based on dictionary learning and anchored neighborhood regression with mutual incoherence,
ICIP15(591-595)
IEEE DOI 1512
Dictionary learning BibRef

Shen, T.[Tao], Zhang, Y.B.[Yong-Bing], Zhang, Y.L.[Yu-Lun], Wang, X., Wang, H., Dai, Q.H.[Qiong-Hai],
Decompressed video enhancement via accurate regression prior,
VCIP16(1-4)
IEEE DOI 1701
Coherence BibRef

Feng, Y.H.[Yi-Hui], Zhang, Y.B.[Yong-Bing], Zhang, Y.L.[Yu-Lun], Shen, T.[Tao], Dai, Q.H.[Qiong-Hai],
Single image super-resolution via projective dictionary learning with anchored neighborhood regression,
VCIP16(1-4)
IEEE DOI 1701
Algorithm design and analysis BibRef

Zhang, Y.L.[Yu-Lun], Zhang, Y.B.[Yong-Bing], Zhang, J.[Jian], Wang, H.Q.[Hao-Qian], Wang, X.Z.[Xing-Zheng], Dai, Q.H.[Qiong-Hai],
Adaptive local nonparametric regression for fast single image super-resolution,
VCIP15(1-4)
IEEE DOI 1605
Adaptation models BibRef

Lu, X.Q.[Xiao-Qiang], Yuan, H.L.[Hao-Liang], Yan, P.K.[Ping-Kun],
Image Super-Resolution Via Double Sparsity Regularized Manifold Learning,
CirSysVideo(23), No. 12, 2013, pp. 2022-2033.
IEEE DOI 1312
Dictionaries BibRef

Lu, X.Q.[Xiao-Qiang], Yuan, Y.[Yuan], Yan, P.K.[Ping-Kun],
Alternatively Constrained Dictionary Learning For Image Superresolution,
Cyber(44), No. 3, March 2014, pp. 366-377.
IEEE DOI 1404
dictionaries BibRef

Tang, Y.[Yi], Yuan, Y.[Yuan], Yan, P.K.[Ping-Kun], Li, X.L.[Xue-Long],
Single-Image Super-Resolution via Sparse Coding Regression,
ICIG11(267-272).
IEEE DOI 1109
BibRef

Tang, Y.[Yi], Yuan, Y.[Yuan], Yan, P.K.[Ping-Kun], Li, X.L.[Xue-Long],
Greedy Regression in Sparse Coding Space for Single-Image Super-Resolution,
JVCIR(24), No. 2, February 2013, pp. 148-159.
Elsevier DOI 1302
Image quality improvement; Super-resolution; Sparsity; Nonlinear coding; Machine learning; Empirical risk minimization; Greedy regression; L2-Boosting BibRef

Guo, K., Yang, X., Lin, W., Zhang, R., Yu, S.,
Learning-based super-resolution method with a combining of both global and local constraints,
IET-IPR(6), No. 4, 2012, pp. 337-344.
DOI Link 1205
See also Multiscale Semilocal Interpolation With Antialiasing. BibRef

Katsuki, T., Torii, A., Inoue, M.,
Posterior-Mean Super-Resolution With a Causal Gaussian Markov Random Field Prior,
IP(21), No. 7, July 2012, pp. 3182-3193.
IEEE DOI 1206
BibRef

Torii, A., Wakazono, Y., Murakami, H., Imiya, A.,
PDE Based Method for Superresolution of Gray-Level Images,
CAIP03(706-713).
Springer DOI 0311
BibRef

Yang, J.C.[Jian-Chao], Wang, Z., Lin, Z.[Zhe], Cohen, S.[Scott], Huang, T.,
Coupled Dictionary Training for Image Super-Resolution,
IP(21), No. 8, August 2012, pp. 3467-3478.
IEEE DOI 1208
BibRef

Yang, J.C.[Jian-Chao], Lin, Z.[Zhe], Cohen, S.[Scott],
Fast Image Super-Resolution Based on In-Place Example Regression,
CVPR13(1059-1066)
IEEE DOI 1309
image restoration BibRef

Camponez, M.O.[Marcelo Oliveira], Salles, E.O.T.[Evandro O. Teatini], Sarcinelli-Filho, M.[Mario],
Super-Resolution Image Reconstruction Using Nonparametric Bayesian INLA Approximation,
IP(21), No. 8, August 2012, pp. 3491-3501.
IEEE DOI 1208
BibRef
And:
DFT-based fast superresolution image reconstruction using INLA approximation,
ICIP12(2217-2220).
IEEE DOI 1302
BibRef

Liang, Y.[Yan], Yuen, P.C.[Pong C.], Lai, J.H.[Jian-Huang],
Image super-resolution by textural context constrained visual vocabulary,
SP:IC(27), No. 10, November 2012, pp. 1096-1108.
Elsevier DOI 1211
Similarity preserving; Visual vocabulary; Textural context; Super-resolution BibRef

Wang, S.L.[Shen-Long], Zhang, L.[Lei], Liang, Y.[Yan], Pan, Q.[Quan],
Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis,
CVPR12(2216-2223).
IEEE DOI 1208
BibRef

Zhang, W.[Wei], Cham, W.K.[Wai-Kuen],
Single-Image Refocusing and Defocusing,
IP(21), No. 2, February 2012, pp. 873-882.
IEEE DOI 1201
BibRef
Earlier:
High quality artifact-free super-resolution,
ICIP10(889-892).
IEEE DOI 1009
BibRef
And:
Single image focus editing,
CRICV09(1947-1954).
IEEE DOI 0910
BibRef
Earlier:
A single image based blind super-resolution approach,
ICIP08(329-332).
IEEE DOI 0810
BibRef

Zhang, W.[Wei], Cham, W.K.[Wai-Kuen],
Gradient-Directed Multiexposure Composition,
IP(21), No. 4, April 2012, pp. 2318-2323.
IEEE DOI 1204
BibRef

Yang, S.Y.[Shu-Yuan], Wang, M.[Min], Sun, Y.[Yaxin], Sun, F.H.[Feng-Hua], Jiao, L.C.[Li-Cheng],
Compressive Sampling based Single-Image Super-resolution Reconstruction by dual-sparsity and Non-local Similarity Regularizer,
PRL(33), No. 9, 1 July 2012, pp. 1049-1059.
Elsevier DOI 1202
Single-Image Super-Resolution Reconstruction; Compressive sampling; Dual-sparsity; Non-local similarities; Patch-pixel-collaboration BibRef

Yang, S.Y.[Shu-Yuan], Wang, M.[Min], Chen, Y., Sun, Y.[Yaxin],
Single-Image Super-Resolution Reconstruction via Learned Geometric Dictionaries and Clustered Sparse Coding,
IP(21), No. 9, September 2012, pp. 4016-4028.
IEEE DOI 1208
BibRef

Kim, C.H.[Chang-Hyun], Choi, K.[Kyuha], Ra, J.B.[Jong Beom],
Example-Based Super-Resolution via Structure Analysis of Patches,
SPLetters(20), No. 4, April 2013, pp. 407-410.
IEEE DOI 1303
BibRef
Earlier:
Improvement on learning-based super-resolution by adopting residual information and patch reliability,
ICIP09(1197-1200).
IEEE DOI 0911
BibRef

Yang, M.C.[Min-Chun], Wang, Y.C.F.[Yu-Chiang Frank],
A Self-Learning Approach to Single Image Super-Resolution,
MultMed(15), No. 3, 2013, pp. 498-508.
IEEE DOI 1303
BibRef

Huang, D.A.[De-An], Kang, L.W.[Li-Wei], Wang, Y.C.F., Lin, C.W.[Chia-Wen],
Self-Learning Based Image Decomposition With Applications to Single Image Denoising,
MultMed(16), No. 1, January 2014, pp. 83-93.
IEEE DOI 1402
Gaussian noise BibRef

Huang, D.A.[De-An], Wang, Y.C.F.[Yu-Chiang Frank],
Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition,
ICCV13(2496-2503)
IEEE DOI 1403
BibRef

Tsai, C.Y.[Chih-Yun], Huang, D.A.[De-An], Yang, M.C.[Min-Chun], Kang, L.W.[Li-Wei], Wang, Y.C.F.[Yu-Chiang Frank],
Context-Aware Single Image Super-Resolution Using Locality-Constrained Group Sparse Representation,
VCIP12(1-6).
IEEE DOI 1302
See also Locality-Constrained Group Sparse Representation for Robust Face Recognition. BibRef

Yang, M.C.[Min-Chun], Wang, C.H.[Chang-Heng], Hu, T.Y.[Ting-Yao], Wang, Y.C.F.[Yu-Chiang Frank],
Learning context-aware sparse representation for single image super-resolution,
ICIP11(1349-1352).
IEEE DOI 1201
BibRef
Earlier: A1, A3, A2, A4:
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VCIP11(1-4).
IEEE DOI 1201
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Yang, M.C.[Ming-Chun], Chu, C.T.[Chao-Tsung], Wang, Y.C.F.[Yu-Chiang Frank],
Learning sparse image representation with support vector regression for single-image super-resolution,
ICIP10(1973-1976).
IEEE DOI 1009
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Super-Resolution Based on Compressive Sensing and Structural Self-Similarity for Remote Sensing Images,
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IEEE DOI 1309
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Factor graph BibRef

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Elsevier DOI 1310
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image reconstruction BibRef

Xu, H.T.[Hong-Teng], Zhai, G.T.[Guang-Tao], Yang, X.K.[Xiao-Kang],
Single Image Super-resolution With Detail Enhancement Based on Local Fractal Analysis of Gradient,
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IEEE DOI 1311
estimation theory BibRef

Xu, H.T.[Hong-Teng], Zhai, G.T.[Guang-Tao], Wu, X.L.[Xiao-Lin], Yang, X.K.[Xiao-Kang],
Generalized Equalization Model for Image Enhancement,
MultMed(16), No. 1, January 2014, pp. 68-82.
IEEE DOI 1402
computational complexity BibRef

Chen, X.X.[Xiao-Xuan], Qi, C.[Chun],
Low-Rank Neighbor Embedding for Single Image Super-Resolution,
SPLetters(21), No. 1, January 2014, pp. 79-82.
IEEE DOI 1402
image resolution BibRef

Zachevsky, I.[Ido], Zeevi, Y.Y.[Yehoshua Y.],
Single-Image Superresolution of Natural Stochastic Textures Based on Fractional Brownian Motion,
IP(23), No. 5, May 2014, pp. 2096-2108.
IEEE DOI 1405
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Earlier:
Single-image superresolution of self-similar textures,
ICIP13(952-956)
IEEE DOI 1402
Estimation. Brownian motion BibRef

Zachevsky, I.[Ido], Zeevi, Y.Y.[Yehoshua Y.],
Statistics of Natural Stochastic Textures and Their Application in Image Denoising,
IP(25), No. 5, May 2016, pp. 2130-2145.
IEEE DOI 1604
BibRef
Earlier:
Denoising of natural stochastic colored-textures based on fractional brownian motion model,
ICIP15(1065-1069)
IEEE DOI 1512
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Earlier:
Combining long-range dependencies with phase information in Natural Stochastic Texture enhancement,
ICIP14(4487-4491)
IEEE DOI 1502
Texture enhancement. Correlation Brownian motion. BibRef

Purkait, P., Pal, N.R., Chanda, B.,
A Fuzzy-Rule-Based Approach for Single Frame Super Resolution,
IP(23), No. 5, May 2014, pp. 2277-2290.
IEEE DOI 1405
fuzzy systems BibRef

Peleg, T., Elad, M.,
A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution,
IP(23), No. 6, June 2014, pp. 2569-2582.
IEEE DOI 1406
Dictionaries BibRef

Hu, X.Y.[Xi-Yuan], Peng, S.L.[Si-Long], Hwang, W.L.[Wen-Liang],
Learning adaptive interpolation kernels for fast single-image super resolution,
SIViP(8), No. 6, September 2014, pp. 1077-1086.
WWW Link. 1408
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Zhou, F.[Fei], Yuan, T.R.[Ting-Rong], Yang, W.M.[Wen-Ming], Liao, Q.M.[Qing-Min],
Single-Image Super-Resolution Based on Compact KPCA Coding and Kernel Regression,
SPLetters(22), No. 3, March 2015, pp. 336-340.
IEEE DOI 1410
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And: A2, A3, A1, A4:
Single image super-resolution via sparse KPCA and regression,
ICIP14(2130-2134)
IEEE DOI 1502
Dictionaries BibRef

Yang, W.M.[Wen-Ming], Yuan, T.R.[Ting-Rong], Wang, W.[Wei], Zhou, F.[Fei], Liao, Q.M.[Qing-Min],
Single-Image Super-Resolution by Subdictionary Coding and Kernel Regression,
SMCS(47), No. 9, September 2017, pp. 2478-2488.
IEEE DOI 1708
Dictionaries, Encoding, Image coding, Image reconstruction, Image resolution, Interpolation, Kernel, Kernel regression, nonlinear mapping, sparse representation, subdictionary, super-resolution, (SR) BibRef

Tian, Y.P.[Ya-Peng], Zhou, F.[Fei], Yang, W.M.[Wen-Ming], Shang, X.S.[Xue-Sen], Liao, Q.M.[Qing-Min],
Anchored neighborhood regression based single image super-resolution from self-examples,
ICIP16(2827-2831)
IEEE DOI 1610
Dictionaries BibRef

Yang, F., Xie, D., Jia, H., Chen, R., Xiang, G., Gao, W.,
Structure preserving single image super-resolution,
ICIP16(1409-1413)
IEEE DOI 1610
Data integration BibRef

Yang, W.M.[Wen-Ming], Tian, Y., Zhou, F.[Fei], Liao, Q.M.[Qing-Min], Chen, H., Zheng, C.,
Consistent Coding Scheme for Single-Image Super-Resolution Via Independent Dictionaries,
MultMed(18), No. 3, March 2016, pp. 313-325.
IEEE DOI 1603
Dictionaries BibRef

Zhou, F.[Fei], Liao, Q.M.[Qing-Min],
Single-frame image super-resolution inspired by perceptual criteria,
IET-IPR(9), No. 1, 2015, pp. 1-11.
DOI Link 1502
image resolution BibRef

Bevilacqua, M.[Marco], Roumy, A.[Aline], Guillemot, C.[Christine], Morel, M.L.A.[Marie-Line Alberi],
Single-Image Super-Resolution via Linear Mapping of Interpolated Self-Examples,
IP(23), No. 12, December 2014, pp. 5334-5347.
IEEE DOI 1412
BibRef
Earlier:
Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding,
BMVC12(135).
DOI Link 1301
image resolution BibRef

Feng, W.[Wensen], Lei, H.[Hong],
Single-image super-resolution with total generalised variation and Shearlet regularisations,
IET-IPR(8), No. 12, 2014, pp. 833-845.
DOI Link 1412
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And: Erratum: IET-IPR(9), No. 4, 2015, pp. 346-346.
DOI Link 1505
approximation theory BibRef

Bareja, M.N.[Milan N.], Modi, C.K.[Chintan K.],
An Improved Iterative Back Projection Based Single Image Super Resolution Approach,
IJIG(14), No. 04, 2014, pp. 1450015.
DOI Link 1412
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Lu, J.[Jian], Sun, Y.[Yi],
Context-aware single image super-resolution using sparse representation and cross-scale similarity,
SP:IC(32), No. 1, 2015, pp. 40-53.
Elsevier DOI 1503
Super-resolution BibRef

Cheng, M.[Ming], Wang, C.[Cheng], Li, J.,
Single-image super-resolution in RGB space via group sparse representation,
IET-IPR(9), No. 6, 2015, pp. 461-467.
DOI Link 1507
compressed sensing BibRef

Lowe, T.,
Improving image clarity using local feature dimension,
IET-IPR(9), No. 7, 2015, pp. 553-559.
DOI Link 1506
feature extraction BibRef

Peng, J.L.[Jia-Lin], Hon, B.Y.C.[Benny Y. C.], Kong, D.X.[De-Xing],
A structural low rank regularization method for single image super-resolution,
MVA(26), No. 7-8, November 2015, pp. 991-1005.
Springer DOI 1511
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karimi, N.[Naser], Amindavar, H.[Hamidreza], Kirlin, R.L.[Rodney Lynn], Rajabi, A.[Ahad],
Blind single-image super resolution based on compressive sensing,
JVCIR(33), No. 1, 2015, pp. 94-103.
Elsevier DOI 1512
Blind single-image super resolution BibRef

Hung, K.W.[Kwok-Wai], Siu, W.C.[Wan-Chi],
Single-image super-resolution using iterative Wiener filter based on nonlocal means,
SP:IC(39, Part A), No. 1, 2015, pp. 26-45.
Elsevier DOI 1512
Super-resolution reconstruction BibRef

Yu, S.[Soohwan], Kang, W.[Wonseok], Ko, S.Y.[Seung-Yong], Paik, J.[Joonki],
Single image super-resolution using locally adaptive multiple linear regression,
JOSA-A(32), No. 12, December 2015, pp. 2264-2275.
DOI Link 1601
Image processing; Image reconstruction-restoration; Superresolution BibRef

Zhang, K., Wang, B., Zuo, W., Zhang, H., Zhang, L.,
Joint Learning of Multiple Regressors for Single Image Super-Resolution,
SPLetters(23), No. 1, January 2016, pp. 102-106.
IEEE DOI 1601
Dictionaries BibRef

Wang, F., Zuo, W., Lin, L., Zhang, D., Zhang, L.,
Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification,
CVPR16(1288-1296)
IEEE DOI 1612
BibRef

Jun, J.H.[Jae-Hee], Choi, J.H.[Ji-Hoon], Kim, J.O.[Jong-Ok],
Middle-Frequency Based Refinement for Image Super-Resolution,
IEICE(E99-D), No. 1, January 2016, pp. 300-304.
WWW Link. 1601
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Xian, Y.[Yang], Tian, Y.L.[Ying-Li],
Single image super-resolution via internal gradient similarity,
JVCIR(35), No. 1, 2016, pp. 91-102.
Elsevier DOI 1602
BibRef
Earlier:
Robust internal exemplar-based image enhancement,
ICIP15(2379-2383)
IEEE DOI 1512
Image super-resolution. exemplar-based BibRef

Tian, Y.L.[Ying-Li], Xian, Y.[Yang],
Resolution enhancement in single depth map and aligned image,
WACV16(1-9)
IEEE DOI 1606
Cameras BibRef

Xian, Y.[Yang], Yang, X.D.[Xiao-Dong], Tian, Y.L.[Ying-Li],
Hybrid Example-Based Single Image Super-Resolution,
ISVC15(II: 3-15).
Springer DOI 1601
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Zhang, Y., Zhang, Y., Zhang, J., Dai, Q.,
CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution,
MultMed(18), No. 3, March 2016, pp. 405-417.
IEEE DOI 1603
Clustering algorithms BibRef

Zhang, X., Liu, Q., Li, X., Zhou, Y., Zhang, C.,
Non-local feature back-projection for image super-resolution,
IET-IPR(10), No. 5, 2016, pp. 398-408.
DOI Link 1604
image reconstruction BibRef

López-Rubio, E.[Ezequiel],
Superresolution from a Single Noisy Image by the Median Filter Transform,
SIIMS(9), No. 1, 2016, pp. 82-115.
DOI Link 1604
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Yoo, S.B.[Seok Bong], Choi, K.[Kyuha], Jeon, Y.W.[Young Woo], Ra, J.B.[Jong Beom],
Texture enhancement for improving single-image super-resolution performance,
SP:IC(46), No. 1, 2016, pp. 29-39.
Elsevier DOI 1606
Texture enhancement BibRef

Zhao, N., Wei, Q., Basarab, A., Dobigeon, N., Kouamé, D., Tourneret, J.Y.,
Fast Single Image Super-Resolution Using a New Analytical Solution for L_2- L_2 Problems,
IP(25), No. 8, August 2016, pp. 3683-3697.
IEEE DOI 1608
Convolution BibRef

Wei, X., Dragotti, P.L.,
FRESH: FRI-Based Single-Image Super-Resolution Algorithm,
IP(25), No. 8, August 2016, pp. 3723-3735.
IEEE DOI 1608
channel bank filters BibRef

Kumar, N., Sethi, A.,
Fast Learning-Based Single Image Super-Resolution,
MultMed(18), No. 8, August 2016, pp. 1504-1515.
IEEE DOI 1608
image reconstruction BibRef

Sandeep, P., Jacob, T.,
Single Image Super-Resolution Using a Joint GMM Method,
IP(25), No. 9, September 2016, pp. 4233-4244.
IEEE DOI 1609
Gaussian processes BibRef

Anver, J.[Jesna], Abdulla, P.,
Single-image super-resolution using kernel recursive least squares,
SIViP(10), No. 8, November 2016, pp. 1551-1558.
WWW Link. 1610
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Deng, L.J., Guo, W., Huang, T.Z.,
Single-Image Super-Resolution via an Iterative Reproducing Kernel Hilbert Space Method,
CirSysVideo(26), No. 11, November 2016, pp. 2001-2014.
IEEE DOI 1609
Hilbert space BibRef

Jiang, J.J.[Jun-Jun], Ma, X., Chen, C.[Chen], Lu, T., Wang, Z.[Zheng], Ma, J.Y.[Jia-Yi],
Single Image Super-Resolution via Locally Regularized Anchored Neighborhood Regression and Nonlocal Means,
MultMed(19), No. 1, January 2017, pp. 15-26.
IEEE DOI 1612
Dictionaries BibRef

Zeng, K., Yu, J., Wang, R., Li, C., Tao, D.,
Coupled Deep Autoencoder for Single Image Super-Resolution,
Cyber(47), No. 1, January 2017, pp. 27-37.
IEEE DOI 1612
Dictionaries BibRef

Tang, Y.[Yi], Shao, L.[Ling],
Pairwise Operator Learning for Patch-Based Single-Image Super-Resolution,
IP(26), No. 2, February 2017, pp. 994-1003.
IEEE DOI 1702
image resolution BibRef

Tang, Y.[Yi], Chen, H.[Hong],
Local operator estimation for single-image super-resolution,
ICWAPR15(39-44)
IEEE DOI 1511
estimation theory BibRef

Haris, M.[Muhammad], Widyanto, M.R.[M. Rahmat], Nobuhara, H.[Hajime],
First-order derivative-based super-resolution,
SIViP(11), No. 1, January 2017, pp. 1-8.
WWW Link. 1702
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Ahmadi, K.[Kaveh], Salari, E.[Ezzatollah],
Single-image super resolution using evolutionary sparse coding technique,
IET-IPR(11), No. 1, January 2017, pp. 13-21.
DOI Link 1703
See also Small dim object tracking using a multi objective particle swarm optimisation technique. BibRef

Mokari, A.[Azade], Ahmadyfard, A.[Alireza],
Fast single image SR via dictionary learning,
IET-IPR(11), No. 2, February 2017, pp. 135-144.
DOI Link 1703
BibRef

Choi, J.S.[Jae-Seok], Kim, M.C.[Mun-Churl],
Single Image Super-Resolution Using Global Regression Based on Multiple Local Linear Mappings,
IP(26), No. 3, March 2017, pp. 1300-1314.
IEEE DOI 1703
image resolution BibRef

Choi, J.S.[Jae-Seok], Bae, S.H.[Sung-Ho], Kim, M.C.[Mun-Churl],
Single image super-resolution based on self-examples using context-dependent subpatches,
ICIP15(2835-2839)
IEEE DOI 1512
Lloyd-Max quantization BibRef

Wei, X.[Xian], Li, Y.X.[Yuan-Xiang], Shen, H.[Hao], Xiang, W.D.[Wei-Dong], Murphey, Y.L.[Yi Lu],
Joint learning sparsifying linear transformation for low-resolution image synthesis and recognition,
PR(66), No. 1, 2017, pp. 412-424.
Elsevier DOI 1704
Sparse representation BibRef

Wei, X.[Xian], Li, Y.X.[Yuan-Xiang], Shen, H.[Hao], Kleinsteuber, M., Murphey, Y.L.[Yi Lu],
Joint learning dictionary and discriminative features for high dimensional data,
ICPR16(366-371)
IEEE DOI 1705
Cost function, Covariance matrices, Dictionaries, Encoding, Manifolds, Sparse matrices, Visualization BibRef

Huang, J.J., Siu, W.C.,
Learning Hierarchical Decision Trees for Single-Image Super-Resolution,
CirSysVideo(27), No. 5, May 2017, pp. 937-950.
IEEE DOI 1705
Data models, Dictionaries, Image reconstruction, Image resolution, Regression tree analysis, Training, Classification, decision tree, image processing, regression and training, single-image, super-resolution, (SR) BibRef

Jebadurai, J.[Jebaveerasingh], Peter, J.D.[J Dinesh],
SK-SVR: Sigmoid kernel support vector regression based in-scale single image super-resolution,
PRL(94), No. 1, 2017, pp. 144-153.
Elsevier DOI 1708
Single, image, SR BibRef

Lee, H.J.[Hui Jung], Choi, D.Y.[Dong-Yoon], Lim, K.W.[Kyoung Won], Song, B.C.[Byung Cheol],
A Single Image Super-Resolution Algorithm Using Non-Local-Mean Self-Similarity and Noise-Robust Saliency Map,
IEICE(E100-D), No. 7, July 2017, pp. 1463-1474.
WWW Link. 1708
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Han, Y.L.[Yu-Lan], Zhao, Y.P.[Yong-Ping], Yu, H.F.[Hai-Feng],
Adaptive regularised L_2-boosting on clustered sparse coefficients for single image super-resolution,
IET-CV(11), No. 7, October 2017, pp. 517-529.
DOI Link 1709
BibRef

Gong, W.G.[Wei-Guo], Yi, Q.[Qiane], Tang, Y.[Yongliang], Li, W.H.[Wei-Hong],
Multi-layer strategy and reconstruction model with low rank and local rank regularizations for single image super-resolution,
SP:IC(57), No. 1, 2017, pp. 197-210.
Elsevier DOI 1709
Single image super-resolution BibRef

Laghrib, A.[Amine], Hakim, A.[Abdelilah], Raghay, S.[Said],
An iterative image super-resolution approach based on Bregman distance,
SP:IC(58), No. 1, 2017, pp. 24-34.
Elsevier DOI 1710
Super-resolution BibRef


Xu, J.C.[Jin-Chang], Zhao, Y.[Yu], Dong, Y.[Yuan], Bai, H.L.[Hong-Liang],
Fast and Accurate Image Super-Resolution Using a Combined Loss,
NTIRE17(1093-1099)
IEEE DOI 1709
Convolution, Image reconstruction, Image resolution, Interpolation, Optimization, Testing, Training BibRef

Fan, Y.C.[Yu-Chen], Shi, H.H.[Hong-Hui], Yu, J.H.[Jia-Hui], Liu, D.[Ding], Han, W.[Wei], Yu, H.C.[Hai-Chao], Wang, Z.Y.[Zhang-Yang], Wang, X.C.[Xin-Chao], Huang, T.S.[Thomas S.],
Balanced Two-Stage Residual Networks for Image Super-Resolution,
NTIRE17(1157-1164)
IEEE DOI 1709
Computational modeling, Dictionaries, Image resolution, Logic gates, Neural networks, Training BibRef

Choi, J.S.[Jae-Seok], Kim, M.C.[Mun-Churl],
A Deep Convolutional Neural Network with Selection Units for Super-Resolution,
NTIRE17(1150-1156)
IEEE DOI 1709
Convergence, Image reconstruction, Image resolution, Machine learning, Switches, Training BibRef

Donn, S., Meeus, L., Luong, H.Q., Goossens, B., Philips, W.,
Exploiting Reflectional and Rotational Invariance in Single Image Superresolution,
NTIRE17(1043-1049)
IEEE DOI 1709
Convergence, Image reconstruction, Image resolution, Neural networks, Training, Transforms BibRef

Huang, J.J., Liu, T., Dragotti, P.L., Stathaki, T.,
SRHRF+: Self-Example Enhanced Single Image Super-Resolution Using Hierarchical Random Forests,
NTIRE17(1067-1075)
IEEE DOI 1709
Bagging, Decision trees, Estimation error, Image resolution, Signal resolution, Training, Training, data BibRef

Timofte, R.[Radu], Agustsson, E.[Eirikur], Van Gool, L.J.[Luc J.], Yang, M.H.[Ming-Hsuan], Zhang, L.[Lei], Lim, B.[Bee], Son, S.H.[Sang-Hyun], Kim, H.[Heewon], Nah, S.J.[Seung-Jun], Lee, K.M.[Kyoung Mu], Wang, X.T.[Xin-Tao], Tian, Y.P.[Ya-Peng], Yu, K.[Ke], Zhang, Y.L.[Yu-Lun], Wu, S.X.[Shi-Xiang], Dong, C.[Chao], Lin, L.[Liang], Qiao, Y.[Yu], Loy, C.C.[Chen Change], Bae, W.[Woong], Yoo, J.[Jae_Jun], Han, Y.[Yoseob], Ye, J.C.[Jong Chul], Choi, J.S.[Jae-Seok], Kim, M.C.[Mun-Churl], Fan, Y.C.[Yu-Chen], Yu, J.H.[Jia-Hui], Han, W.[Wei], Liu, D.[Ding], Yu, H.C.[Hai-Chao], Wang, Z.Y.[Zhang-Yang], Shi, H.H.[Hong-Hui], Wang, X.C.[Xin-Chao], Huang, T.S.[Thomas S.], Chen, Y.J.[Yun-Jin], Zhang, K.[Kai], Zuo, W.M.[Wang-Meng], Tang, Z.M.[Zhi-Min], Luo, L.K.[Lin-Kai], Li, S.H.[Shao-Hui], Fu, M.[Min], Cao, L.[Lei], Heng, W.[Wen], Bui, G.[Giang], Le, T.[Truc], Duan, Y.[Ye], Tao, D.C.[Da-Cheng], Wang, R.X.[Ru-Xin], Lin, X.[Xu], Pang, J.X.[Jian-Xin], Xu, J.C.[Jin-Chang], Zhao, Y.[Yu], Xu, X.Y.[Xiang-Yu], Pan, J.S.[Jin-Shan], Sun, D.Q.[De-Qing], Zhang, Y.J.[Yu-Jin], Song, X.B.[Xi-Bin], Dai, Y.C.[Yu-Chao], Qin, X.Y.[Xue-Ying], Huynh, X.P.[Xuan-Phung], Guo, T.T.[Tian-Tong], Mousavi, H.S.[Hojjat Seyed], Vu, T.H.[Tiep Huu], Monga, V.[Vishal], Cruz, C.[Cristovao], Egiazarian, K.[Karen], Katkovnik, V.[Vladimir], Mehta, R.[Rakesh], Jain, A.K.[Arnav Kumar], Agarwalla, A.[Abhinav], Praveen, C.V.S.[C.V. Sai], Zhou, R.F.[Ruo-Fan], Wen, H.D.[Hong-Diao], Zhu, C.[Che], Xia, Z.Q.[Zhi-Qiang], Wang, Z.T.[Zheng-Tao], Guo, Q.[Qi],
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results,
NTIRE17(1110-1121)
IEEE DOI 1709
Image resolution, Image restoration, MATLAB, Runtime, Testing, Tracking, Training BibRef

Agustsson, E.[Eirikur], Timofte, R.[Radu],
NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study,
NTIRE17(1122-1131)
IEEE DOI 1709
Agriculture, Atmospheric measurements, Degradation, Image quality, Image resolution, Image restoration, Particle, measurements BibRef

Suo, S.Y.[Shi-Yao], He, X.H.[Xiao-Hai], Chen, H.G.[Hong-Gang], Xiong, S.H.[Shu-Hua], Teng, Q.Z.[Qi-Zhi],
Single image super resolution based on feature enhancement,
ICIVC17(473-477)
IEEE DOI 1708
Dictionaries, Feature extraction, Image reconstruction, Image resolution, Image restoration, Sparse matrices, Training, anchored neighborhood regression, feature enhancement, learning-based, single, image, super-resolution BibRef

Zhao, M.D.[Man-Dan], Cheng, C.Q.[Chuan-Qi], Zhang, Z.J.[Zhen-Jie], Hao, X.Y.[Xiang-Yang],
Deep convolutional networks super-resolution method for reconstructing high frequency information of the single image,
ICIVC17(531-535)
IEEE DOI 1708
Computer vision, Convergence, Convolution, Image reconstruction, Image resolution, Signal resolution, Training, convolutional neural networks, frequency information, image super-resolution, residual, nerwork BibRef

You, X.G.[Xin-Ge], Xue, W.Y.[Wei-Yong], Lei, J.J.[Jia-Jia], Zhang, P.[Peng], Cheung, Y.M.[Yiu-Ming], Tang, Y.Y.[Yuan-Yan], Zhou, N.D.[Nai-Ding],
Single image super-resolution with non-local balanced low-rank matrix restoration,
ICPR16(1255-1260)
IEEE DOI 1705
BibRef

Bajic, B.[Buda], Lindblad, J.[Joakim], Sladoje, N.[Nataša],
Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise,
IPTA16(1-6)
IEEE DOI 1703
Gaussian distribution BibRef

Yang, Z.[Ze], Zhang, K.[Kai], Liang, Y.D.[Yu-Dong], Wang, J.J.[Jin-Jun],
Single Image Super-Resolution with a Parameter Economic Residual-Like Convolutional Neural Network,
MMMod17(I: 353-364).
Springer DOI 1701
BibRef

Ledig, C., Theis, L., Huszár, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., Shi, W.,
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network,
CVPR17(105-114)
IEEE DOI 1711
Gallium nitride, Image reconstruction, Image resolution, Manifolds, Network architecture, Signal resolution, Training BibRef

Caballero, J., Ledig, C., Aitken, A., Acosta, A., Totz, J., Wang, Z., Shi, W.,
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation,
CVPR17(2848-2857)
IEEE DOI 1711
Convolution, Motion compensation, Real-time systems, Spatial resolution, Streaming media, BibRef

Shi, W., Caballero, J., Huszar, F., Totz, J., Aitken, A.P., Bishop, R., Rueckert, D., Wang, Z.,
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network,
CVPR16(1874-1883)
IEEE DOI 1612
BibRef

Mahanti, P., Robinson, M.S., Sato, H., Awumah, A., Henriksen, M.,
Enhancement Of Spatial Resolution of the LROC Wide Angle Camera Images,
ISPRS16(B7: 685-692).
DOI Link 1610
BibRef

Shi, J., Qi, C.,
Low-rank sparse representation for single image super-resolution via self-similarity learning,
ICIP16(1424-1428)
IEEE DOI 1610
Dictionaries BibRef

Choudhury, A., van Beek, P.,
Boosting performance and speed of single-image super-resolution based on partitioned linear regression,
ICIP16(1419-1423)
IEEE DOI 1610
Dictionaries BibRef

Zhou, J., Wu, Y.,
Finding the right exemplars for reconstructing single image super-resolution,
ICIP16(1414-1418)
IEEE DOI 1610
Databases BibRef

Liebel, L., Körner, M.,
Single-image Super Resolution For Multispectral Remote Sensing Data Using Convolutional Neural Networks,
ISPRS16(B3: 883-890).
DOI Link 1610
BibRef

Ning, L.[Liu], Shuang, L.[Liang],
Single Image Super-Resolution Using Sparse Representation on a K-NN Dictionary,
ICISP16(169-178).
WWW Link. 1606
BibRef

Riegler, G., Schulter, S., Rother, M., Bischof, H.,
Conditioned Regression Models for Non-blind Single Image Super-Resolution,
ICCV15(522-530)
IEEE DOI 1602
Adaptation models BibRef

Kwon, H.[Hyeok_Hyen], Tai, Y.W.[Yu-Wing],
RGB-Guided Hyperspectral Image Upsampling,
ICCV15(307-315)
IEEE DOI 1602
Dictionaries BibRef

Lin, J.H.[Jung-Hsuan], Wang, R.S.[Rong-Sheng], Wang, J.W.[Jing-Wei],
Patch Selection for Single Image Deblurring Based on a Coalitional Game,
ISVC15(II: 521-531).
Springer DOI 1601
BibRef

Qu, Y.Y.[Yan-Yun], Shi, C.T.[Cui-Ting], Liu, J.R.[Jun-Ran], Peng, L.Y.[Li-Ying], Du, X.F.[Xiao-Feng],
Single Image Super-Resolution via Convolutional Neural Network and Total Variation Regularization,
MMMod16(II: 28-38).
Springer DOI 1601
BibRef

Wei, X.Y.[Xiao-Yao], Dragotti, P.L.[Pier Luigi],
Sampling piecewise smooth signals and its application to image up-sampling,
ICIP15(4293-4297)
IEEE DOI 1512
BibRef

Bai, J.[Jun], Shi, L.M.[Li-Min], Li, B.Y.[Bang-Yu], Xiang, S.M.[Shi-Ming], Pan, C.H.[Chun-Hong],
Super-resolution reconstruction using graph Laplacian penalization,
ICIP15(487-491)
IEEE DOI 1512
Super-resolution reconstruction BibRef

Yu, L.[Lejun], Wu, X.[Xiaoyu], Ge, F.X.[Feng-Xiang], Sun, B.[Bo], He, J.[Jun], Sablatnig, R.[Robert],
Regularized single-image super-resolution based on progressive gradient estimation,
ICIP15(1985-1989)
IEEE DOI 1512
Gradient domain optimization BibRef

Youm, G.Y., Bae, S.H.[Sung-Ho], Kim, M.C.[Mun-Churl],
Image super-resolution based on convolution neural networks using multi-channel input,
IVMSP16(1-5)
IEEE DOI 1608
Convolution BibRef

Lin, F.J.[Fang-Ju],
Super-resolution from learning the enhancement ratio and texture/residual dictionary,
ICIP15(2135-2139)
IEEE DOI 1512
BibRef

Batz, M.[Michel], Eichenseer, A.[Andrea], Seiler, J.[Jurgen], Jonscher, M.[Markus], Kaup, A.[Andre],
Hybrid super-resolution combining example-based single-image and interpolation-based multi-image reconstruction approaches,
ICIP15(58-62)
IEEE DOI 1512
Image Processing BibRef

Yue, B.[Bo], Wang, S.[Shuang], Liang, X.F.[Xue-Feng], Jiao, L.C.[Li-Cheng],
Robust Noisy Image Super-Resolution Using l1-norm Regularization and Non-local Constraint,
NTIRE16(I: 34-49).
Springer DOI 1704
BibRef

Wang, S.[Shuang], Lin, S.P.[Shao-Peng], Liang, X.F.[Xue-Feng], Yue, B.[Bo], Jiao, L.C.[Li-Cheng],
External and internal learning for single-image super-resolution,
ICIP15(128-132)
IEEE DOI 1512
External dictionary learning BibRef

Zhou, Y.[Yu], Kwong, S.[Sam], Gao, W.[Wei], Zhang, X.[Xiao], Wang, X.[Xu],
Complexity reduction in multi-dictionary based single-image superresolution reconstruction via phase congruency,
ICWAPR15(146-151)
IEEE DOI 1511
computational complexity BibRef

Huang, J.B.[Jia-Bin], Singh, A.[Abhishek], Ahuja, N.[Narendra],
Single image super-resolution from transformed self-exemplars,
CVPR15(5197-5206)
IEEE DOI 1510
BibRef

Ferreira, J.C., Le Meur, O., Guillemot, C., da Silva, E.A.B., Carrijo, G.A.,
Single image super-resolution using sparse representations with structure constraints,
ICIP14(3862-3866)
IEEE DOI 1502
Dictionaries BibRef

Zhu, Y.[Yu], Zhang, Y.N.[Yan-Ning], Bonev, B.[Boyan], Yuille, A.L.[Alan L.],
Modeling deformable gradient compositions for single-image super-resolution,
CVPR15(5417-5425)
IEEE DOI 1510
BibRef

Zhu, Y.[Yu], Zhang, Y.N.[Yan-Ning], Yuille, A.L.[Alan L.],
Single Image Super-resolution Using Deformable Patches,
CVPR14(2917-2924)
IEEE DOI 1409
deformable patches;single super-resolution BibRef

Yang, C.Y.[Chih-Yuan], Ma, C.[Chao], Yang, M.H.[Ming-Hsuan],
Single-Image Super-Resolution: A Benchmark,
ECCV14(IV: 372-386).
Springer DOI 1408
BibRef

Deka, B., Gorain, K.K., Kalita, N., Das, B.,
Single image super-resolution using compressive sensing with learned overcomplete dictionary,
NCVPRIPG13(1-5)
IEEE DOI 1408
compressed sensing BibRef

Lin, W.T.[Wun-Ting], Lai, S.H.[Shang-Hong],
Single Image Super-Resolution Based on Local Self-Similarity,
ACPR13(191-195)
IEEE DOI 1408
computer vision BibRef

Ram, S., Rodriguez, J.J.,
Image super-resolution using graph regularized block sparse representation,
Southwest16(69-72)
IEEE DOI 1605
BibRef
Earlier:
Single image super-resolution using dictionary-based local regression,
Southwest14(121-124)
IEEE DOI 1406
Image resolution. approximation theory BibRef

Yu, L.C.[Li-Cheng], Xu, Y.[Yi], Zhang, B.[Bo],
Single image super-resolution via phase congruency analysis,
VCIP13(1-6)
IEEE DOI 1402
fractals BibRef

Timofte, R.[Radu], de Smet, V.[Vincent], Van Gool, L.J.[Luc J.],
A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution,
ACCV14(IV: 111-126).
Springer DOI 1504
BibRef
Earlier:
Anchored Neighborhood Regression for Fast Example-Based Super-Resolution,
ICCV13(1920-1927)
IEEE DOI 1403
anchored neighborhood regression BibRef

Efrat, N.[Netalee], Glasner, D.[Daniel], Apartsin, A.[Alexander], Nadler, B.[Boaz], Levin, A.[Anat],
Accurate Blur Models vs. Image Priors in Single Image Super-resolution,
ICCV13(2832-2839)
IEEE DOI 1403
BibRef

Salvador, J.[Jordi], Perez-Pellitero, E.[Eduardo], Kochale, A.[Axel],
Robust single-image super-resolution using cross-scale self-similarity,
ICIP14(2135-2139)
IEEE DOI 1502
BibRef
Earlier:
Fast single-image super-resolution with filter selection,
ICIP13(640-644)
IEEE DOI 1402
Image resolution. Bandwidth BibRef

Turkan, M.[Mehmet], Thoreau, D.[Dominique], Guillotel, P.[Philippe],
Iterated neighbor-embeddings for image super-resolution,
ICIP14(3887-3891)
IEEE DOI 1502
BibRef
Earlier:
Optimized neighbor embeddings for single-image super-resolution,
ICIP13(645-649)
IEEE DOI 1402
Estimation. Geometry BibRef

Zhong, L.[Lin], Cho, S.H.[Sung-Hyun], Metaxas, D.N.[Dimitris N.], Paris, S.[Sylvain], Wang, J.[Jue],
Handling Noise in Single Image Deblurring Using Directional Filters,
CVPR13(612-619)
IEEE DOI 1309
BibRef

He, L.[Li], Qi, H.R.[Hai-Rong], Zaretzki, R.[Russell],
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution,
CVPR13(345-352)
IEEE DOI 1309
Beta Process BibRef

Wieschollek, P.[Patrick], Schölkopf, B.[Bernhard], Lensch, H.P.A.[Hendrik P. A.], Hirsch, M.[Michael],
End-to-End Learning for Image Burst Deblurring,
ACCV16(IV: 35-51).
Springer DOI 1704
BibRef

Harmeling, S.[Stefan], Hirsch, M.[Michael], Scholkopf, B.[Bernhard],
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit,
CVPR13(1083-1090)
IEEE DOI 1309
BibRef

Han, Y.S.[Yun-Sang], Chae, T.B.[Tae Byeong], Lee, S.K.[Sang-Keun],
Non-parametric single image super resolution,
FCV13(281-284).
IEEE DOI 1304
BibRef

Shibata, T.[Takashi], Iketani, A.[Akihiko], Senda, S.[Shuji],
Single Image Super Resolution Reconstruction in Perturbed Exemplar Sub-space,
ACCV12(III:401-412).
Springer DOI 1304
BibRef

Trinh, D.H.[Dinh Hoan], Luong, M., Rocchisani, J., Pham, C.D.[Canh Duong], Pham, H.D.[Huy Dien], Dibos, F.,
An Optimal Weight Model for Single Image Super-Resolution,
DICTA12(1-8).
IEEE DOI 1303
BibRef

Lee, J.[Jongho], Ahn, S.C.[Sang Chul], Lim, H.[Hwasup], Kim, I.J.[Ig-Jae], Kim, J.W.[Jae-Won], Kim, H.G.[Hyoung-Gon],
Web image-based super-resolution,
ICPR12(1060-1063).
WWW Link. 1302
BibRef

He, H.Y.[Hua-Yong], Li, J.H.[Jian-Hong], Luo, X.N.[Xiao-Nan],
Single Image Super-Resolution Using Gaussian Mixture Model,
ICPR12(1916-1919).
WWW Link. 1302
BibRef

Patel, R.C., Joshi, M.V.,
Super-resolution of Hyperspectral Images Using Compressive Sensing Based Approach,
AnnalsPRS(I-7), No. 2012, pp. 83-88.
HTML Version. 1209
BibRef

Islam, M.M.[Mohammad M.], Asari, V.K.[Vijayan K.], Islam, M.N.[Mohammed N.], Karim, M.A.[Mohammad A.],
Single image super-resolution in frequency domain,
Southwest12(53-56).
IEEE DOI 1205
BibRef

Liao, R.J.[Ren-Jie], Qin, Z.C.[Zeng-Chang],
Image Super-Resolution Using Local Learnable Kernel Regression,
ACCV12(III:349-360).
Springer DOI 1304
BibRef

Zhang, Y.N.[Yan-Ning], Zhang, H.C.[Hai-Chao], Huang, T.S.[Thomas S.],
Collaborative and compressive high-resolution imaging,
ICPR12(3062-3065).
WWW Link. 1302
BibRef

Gu, S.H.[Shu-Hang], Sang, N.[Nong], Ma, F.[Fan],
Fast image super resolution via local regression,
ICPR12(3128-3131).
WWW Link. 1302
BibRef

Taniguchi, K.[Kazuki], Han, X.H.[Xian-Hua], Iwamoto, Y.[Yutaro], Sasatani, S.[So], Chen, Y.W.[Yen-Wei],
Image super-resolution based on locality-constrained linear coding,
ICPR12(1948-1951).
WWW Link. 1302
BibRef

Gu, Y.[Ying], Qu, Y.[Yanyun], Fang, T.Z.[Tian-Zhu], Li, C.[Cuihua], Wang, H.Z.[Han-Zi],
Image super-resolution based on multikernel regression,
ICPR12(2071-2074).
WWW Link. 1302
BibRef

Zhu, Y.M.[Yan-Ming], Jiang, J.M.[Jian-Min], Li, K.[Kun],
Optimized image super-resolution based on sparse representation,
ICPR12(1052-1055).
WWW Link. 1302
BibRef

An, L.[Le], Bhanu, B.[Bir],
Image super-resolution by extreme learning machine,
ICIP12(2209-2212).
IEEE DOI 1302
BibRef

Lin, C.Y.[Chun-Yu], Hsu, C.C.[Chih-Chung], Lin, C.W.[Chia-Wen], Kang, L.W.[Li-Wei],
Fast deconvolution-based image super-resolution using gradient prior,
VCIP11(1-4).
IEEE DOI 1201
BibRef

He, H.[He], Siu, W.C.[Wan-Chi],
Single Image Super-Resolution Using Gaussian Process Regression,
CVPR11(449-456).
IEEE DOI 1106
BibRef

Huang, K.[Kebin], Hu, R.M.[Rui-Min], Han, Z.[Zhen], Wang, F.[Feng],
A super-resolution method based on local sparse and global gradient,
IASP11(261-265).
IEEE DOI 1112
BibRef

Camponez, M.O.[Marcelo O.], Salles, E.O.T.[Evandro O. T.], Sarcinelli-Filho, M.[Mário],
A Closed Form Algorithm for Superresolution,
ISVC11(II: 338-347).
Springer DOI 1109
BibRef

Ravishankar, S.[Subrahmanyam], Reddy, C.N.[Challapalle Nagadastagiri], Tripathi, S.[Shikha], Murthy, K.V.V.,
Image Super Resolution Using Sparse Image and Singular Values as Priors,
CAIP11(II: 380-388).
Springer DOI 1109
BibRef

Watanabe, H.[Hiroki], Yamamoto, A.[Akifumi], Fujiwara, T.[Takayuki], Funahashi, T.[Takuma], Koshimizu, H.[Hiroyasu],
Super-resolution in gray value based on OK quantization theory,
FCV11(1-6).
IEEE DOI 1102
BibRef

Song, H.H.[Hui-Hui], Zhang, L.[Lei], Wang, P.K.[Pei-Kang], Zhang, K.H.[Kai-Hua], Li, X.[Xin],
AN adaptive L1-L2 hybrid error model to super-resolution,
ICIP10(2821-2824).
IEEE DOI 1009
BibRef

Yan, R.M.[Ruo-Mei], Zhang, Y.F.[Yun-Feng], Li, Y.S.[Yun-Song], Wu, C.K.[Cheng-Ke],
Super-resolution image reconstruction based on guided cost function,
ICIP10(1985-1988).
IEEE DOI 1009
BibRef

Fu, Z.Z.[Zhi-Zhong], Li, Z.N.[Ze-Ning], Ding, L.[Lan], Nguyen, T.[Truong],
Translation invariance-based super resolution method for mixed resolution multiview video,
ICIP14(5457-5461)
IEEE DOI 1502
Estimation BibRef

Liu, Q.[Qing], Wang, S.A.[Sun-An], Zhang, X.H.[Xiao-Hui], Hou, Y.[Yun],
Improvement of the space resolution of the optical remote sensing image by the principle of CCD imaging,
IPTA10(477-481).
IEEE DOI 1007
BibRef

Li, B.[Bo], Chang, H.[Hong], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Locality preserving constraints for super-resolution with neighbor embedding,
ICIP09(1189-1192).
IEEE DOI 0911
BibRef

Glasner, D.[Daniel], Bagon, S.[Shai], Irani, M.[Michal],
Super-resolution from a single image,
ICCV09(349-356).
IEEE DOI 0909
BibRef

Ružic, T.[Tijana], Luong, H.Q.[Hięp Q.], Pižurica, A.[Aleksandra], Philips, W.[Wilfried],
Single Image Example-Based Super-Resolution Using Cross-Scale Patch Matching and Markov Random Field Modelling,
ICIAR11(I: 11-20).
Springer DOI 1106
BibRef

Yang, C.Y.[Chih-Yuan], Yang, M.H.[Ming-Hsuan],
Fast Direct Super-Resolution by Simple Functions,
ICCV13(561-568)
IEEE DOI 1403
cluster; fast; linear regression; single-image super-resolution; subspace BibRef

Yang, C.Y.[Chih-Yuan], Huang, J.B.[Jia-Bin], Yang, M.H.[Ming-Hsuan],
Exploiting Self-similarities for Single Frame Super-Resolution,
ACCV10(III: 497-510).
Springer DOI 1011
BibRef

Adler, A.[Amir], Hel-Or, Y.[Yacov], Elad, M.[Michael],
A Shrinkage Learning Approach for Single Image Super-Resolution with Overcomplete Representations,
ECCV10(II: 622-635).
Springer DOI 1009
BibRef

Xu, X.Y.[Xin-Yu], Pan, H.[Hao],
Finding the splitting vector for image resolution up-conversion,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Martins, A.L.D.[Ana L.D.], Levada, A.L.M.[Alexandre L.M.], Homem, M.R.P.[Murillo R.P.], Mascarenhas, N.D.A.[Nelson D.A.],
Map-MRF Super-Resolution Image Reconstruction using Maximum Pseudo-Likelihood parameter estimation,
ICIP09(1165-1168).
IEEE DOI 0911
BibRef

Martins, A.L.D., Homem, M.R.P., Mascarenhas, N.D.A.,
Super-Resolution Image Reconstruction using the ICM Algorithm,
ICIP07(IV: 205-208).
IEEE DOI 0709
BibRef

Yan, P.M.[Pei-Min], Wang, S.Z.[Shuo-Zhong],
Iterative Image Resolution Enhancement Using MAP Estimator,
ICARCV06(1-3).
IEEE DOI 0612
BibRef

Katartzis, A.[Antonis], Petrou, M.[Maria],
Robust Bayesian Estimation and Normalized Convolution for Super-resolution Image Reconstruction,
Fusion07(1-7).
IEEE DOI 0706
BibRef

Zhao, S.[Shubin],
Multi-scale MAP Estimation of High-Resolution Images,
PSIVT06(1059-1066).
Springer DOI 0612
BibRef

Chang, T.L.[Tien-Lung], Liu, T.L.[Tyng-Luh], Chuang, J.H.[Jen-Hui],
Direct Energy Minimization for Super-Resolution on Nonlinear Manifolds,
ECCV06(IV: 281-294).
Springer DOI 0608
See also probabilistic SVM approach for background scene initialization, A. BibRef

Prendergast, R.S., Nguyen, T.Q.,
Improving Frequency Domain Super-Resolution via Undersampling Model,
ICIP05(I: 853-856).
IEEE DOI 0512
BibRef

Wang, Q.A.[Qi-Ang], Tang, X.[Xiaoou], Shum, H.Y.[Heung-Yeung],
Patch Based Blind Image Super Resolution,
ICCV05(I: 709-716).
IEEE DOI 0510
BibRef

Czúni, L.[László], Császár, G.[Gergely], Cho, D.S.[Dae-Sung], Kim, H.M.[Hyun Mun],
New Algorithms for Example-Based Super-Resolution,
CAIP05(781).
Springer DOI 0509
BibRef

Czúni, L.[László], Csordás, D.[Dezso], Császár, G.[Gergely],
Distance Map Retrieval,
ICIAR04(I: 811-817).
Springer DOI 0409
BibRef

Begin, I.[Isabelle], Ferrie, F.P.[Frank P.],
PSF Recovery from Examples for Blind Super-Resolution,
ICIP07(V: 421-424).
IEEE DOI 0709
BibRef
And:
Training Database Adequacy Analysis for Learning-Based Super-Resolution,
CRV07(29-35).
IEEE DOI 0705
BibRef
Earlier:
Comparison of Super-Resolution Algorithms Using Image Quality Measures,
CRV06(72-72).
IEEE DOI 0607
BibRef
Earlier:
Blind super-resolution using a learning-based approach,
ICPR04(II: 85-89).
IEEE DOI 0409
BibRef

Chang, H.[Hong], Yeung, D.Y.[Dit-Yan], Xiong, Y.M.[Yi-Min],
Super-resolution through neighbor embedding,
CVPR04(I: 275-282).
IEEE DOI 0408
BibRef

Shapiro, V.[Vladimir],
Super-resolution Capabilities of the Hough-Green Transform,
CAIP03(673-680).
Springer DOI 0311
BibRef

Lan, T.[Tsehua], Chen, Y.W.[Ying-Wei], van Zon, K.[Kees],
Complexity-Scalable Algorithmic Design: Implementation of a Scalable Resolution Enhancement Algorithm,
ICIP02(II: 877-880).
IEEE DOI 0210
BibRef

Ponik, T.[Tomas], Placek, J.[Jaroslav],
The Resolution Enhancement by Software Method of Random Shift,
PCV02(A: 258). 0305
BibRef

Kursun, O., Favorov, O.,
Single-frame super-resolution by a cortex based mechanism using high level visual features in natural images,
WACV02(112-117).
WWW Link. 0303
BibRef

Ferreira, P.J.S.G.,
Two fast extrapolation/superresolution algorithms,
ICIP00(Vol II: 343-346).
IEEE DOI 0403
BibRef

Bhattacharjee, S., Sundareshan, M.,
Modeling and Extrapolation of Prior Scene Information for Set Theoretic Restoration and Super-resolution of Diffraction-limited Images,
ICIP00(Vol II: 347-350).
IEEE DOI 0008
BibRef

van Vliet, L.J., Hendriks, C.L.L.,
Improving Spatial Resolution in Exchange of Temporal Resolution in Aliased Image Sequences,
SCIA99(Industrial Applications). BibRef 9900

Calle, D., Montanvert, A.,
Super-resolution inducing of an image,
ICIP98(III: 232-236).
IEEE DOI 9810
BibRef

Papageorgiou, C.[Constantine], Girosi, F.[Fredrico], Poggio, T.[Tomaso],
Correlation Kernel Reconstruction and Superresolution,
DARPA98(1025-1030). BibRef 9800

Connolly, T.J., Lane, R.G.,
Constrained regularization methods for superresolution,
ICIP98(III: 727-731).
IEEE DOI 9810
BibRef
Earlier:
Gradient Methods for Superresolution,
ICIP97(I: 917-920).
IEEE DOI BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Super Resolution Analysis Using Edges, Edge Analysis for Superresolution .


Last update:Nov 18, 2017 at 20:56:18