基于自相似性和稀疏表示的图像超分辨率重建
蒋建国, 陈亚运, 齐美彬, 王超. 基于自相似性和稀疏表示的图像超分辨率重建[J]. 光电工程, 2015, 42(12): 0074.
JIANG Jianguo, CHEN Yayun, QI Meibin, WANG Chao. Image Super-resolution Reconstruction Based on Self-similarity and Sparse Representation[J]. Opto-Electronic Engineering, 2015, 42(12): 0074.
[1] Park S C，Park M K，Kang M G. Super-resolution image reconstruction：a technical overview[J]. IEEE Signal Processing Magazine(S1053-5888)，2003，20(3)：21-36.
[2] LI Xin，Orchard M T. New edge-directed interpolation[J]. IEEE Transactions on Image Processing(S1057-7149)，2001， 10(10)：1521-1527.
[3] LI Xin，Nguyen T Q. Markov random field model-based edge-directed image interpolation[J]. IEEE Transactions on Image Processing(S1057-7149)，2008，17(7)：1121-1128.
[4] Schultz R R，Stevenson R L. A Bayesian approach to image expansion for improved definition[J]. IEEE Transactions on Image Processing(S1057-7149)，1994，3(3)：233-242.
[5] Irani M，Peleg S. Improving resolution by image registration[J]. CVGIP：Graphical Models and Image Processing (S1049-9652)，1991，53(3)：231-239.
[6] Marquina A，Osher S J. Image super-resolution by TV-regularization and Bregman iteration[J]. Journal of Scientific Computing(S1573-7691)，2008，37(3)：367-382.
[7] LI Lin，XIE Yuan，HU Wenrui，et al. Single image super-resolution using combined total variation regularization by split Bregman Iteration[J]. Neurocomputing(S0925-2312)，2014，142：551-560.
[8] SUN Jian，XU Zongben，Shum H Y. Image super-resolution using gradient profile prior [C]// Proceedings of IEEE Conference on Computer Vision and Pattern Recognition，Anchorage，AK，June 23-28，2008：1-8.
[9] Mairal J，Bach F，Ponce J，et al. Non-local sparse models for image restoration [C]// Proceedings of the 12th IEEE International Conference on Computer Vision，Kyoto，Japan，Sept 29-Oct 2，2009：2272-2279.
[10] YANG Jianchao，Wright J，Huang T S，et al. Image super-resolution via sparse representation[J]. IEEE Transactions on Image Processing(S1057-7149)，2010，19(11)：2861-2873.
[11] Zeyde R，Elad M，Protter M. On Single Image Scale-up using Sparse Representations [C]// Proceedings of the 7th International Conference on Curves and Surfaces，Avignon，France，June 24-30，2012，6920：711-730.
[12] Glasner D，Bagon S，Irani M. Super-resolution from a single image [C]// Proceedings of the 12th IEEE International Conference on Computer Vision，Kyoto，Japan，Sept 29-Oct 2，2009：349-356.
[13] ZHANG Kaibing，GAO Xinbo，TAO Dacheng，et al. Single image super-resolution with non-local means and steering kernel regression[J]. IEEE Transactions on Image Processing(S1057-7149)，2012，21(11)：4544-4556.
[14] DONG Weisheng，ZHANG Lei，SHI Guangming，et al. Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization[J]. IEEE Transactions on Image Processing(S1057-7149)，2011，20(7)：1838-1857.
[15] HE Li，QI Hairong，Zaretzki R. Beta process joint dictionary learning for coupled feature spaces with application to single image super-resolution [C]// Proceedings of IEEE Conference on Computer Vision and Pattern Recognition，Portland，OR，USA， June 23-28，2013：345-352.
[16] ZHU Qidan，SUN Lei，CAI Chengtao. Non-local neighbor embedding for image super-resolution through FoE features[J]. Neurocomputing(S0925-2312)，2014，141：211-222.
[17] Rubinstein R，Zibulevsky M，Elad M. Double sparsity：Learning sparse dictionaries for sparse signal approximation[J]. IEEE Transactions on Signal Processing(S1057-7149)，2010，58(3)：1553-1564.
[18] YU Jifei，GAO Xinbo，TAO Dacheng，et al. A unified learning framework for single image super-resolution[J]. IEEE Transactions on Neural Networks and Learning Systems(S2162-237X)，2014，25(4)：780-792.
蒋建国, 陈亚运, 齐美彬, 王超. 基于自相似性和稀疏表示的图像超分辨率重建[J]. 光电工程, 2015, 42(12): 0074. JIANG Jianguo, CHEN Yayun, QI Meibin, WANG Chao. Image Super-resolution Reconstruction Based on Self-similarity and Sparse Representation[J]. Opto-Electronic Engineering, 2015, 42(12): 0074.
PDF全文
