[1] Takeda H, Milanfar P, Protter M, et al. Super-resolution without explicit subpixel motion estimation [J]. IEEE Transactions on Image Processing(S1057-7149), 2009, 19(9): 1958-1975.

[2] Danielyan A, Foi A, Katkovnik V, et al. Image and video super-resolution via spatially adaptive block-matching filtering [C]// Proceedings of the International Workshop on Local and Non-Local Approximation in Image Processing, Lausanne, Switzerland, 2008: 1-8.

[3] Protter M, Elad M, Takeda H, et al. Generalizing the non-local-means to super-resolution reconstruction [J]. IEEE Transactions on Image Processing(S1057-7149), 2009, 18(1): 36-51.

[4] Protter M, Elad M. Super resolution with probabilistic motion estimation [J]. IEEE Transactions on Image Processing(S1057-7149), 2009, 18(8): 1899-1904.

[5] YANG Jianchao, Wright J, HUANG Thomas, et al. Image super-resolution as sparse representation [J]. IEEE Transactions on Image Processing(S1057-7149), 2010, 19(11): 2861-2873.

[6] YANG Jianchao, WANG Zhaowen, LIN Zhe, et al. Coupled dictionary training for image super-resolution [J]. IEEE Transactions on Image Processing(S1057-7149), 2012, 21(8): 3467-3478.

[7] 路锦正, 吴斌, 张启衡. 正则化恢复联合稀疏表示的图像超分辨率重构 [J].光电工程, 2013, 40(9): 1-7. LU Jinzheng, WU Bin, ZHANG Qiheng. Image Super-resolution Reconstruction with Regularization Restoration and Sparse Representation [J]. Opto-Electronic Engineering, 2013, 40(9): 1-7.

[8] Peleg T, Elad M. A statistical prediction model based on sparse representations for single image super-resolution [J]. IEEE Transactions on Image Processing(S1057-7149), 2014, 23(6): 2569-2582.

[9] 石大维, 符冉迪, 金炜. 基于耦合过完备字典的红外云图超分辨率方法 [J].光电工程, 2014, 41(4): 69-74. SHI Dawei, FU Randi, JIN Wei．A method of infrared nephogram super-resolution based on coupled over-completed dictionary [J]. Opto-Electronic Engineering, 2014, 41(4): 69-74.

[10] Alexander S, Vrscay E, Tsurumi S．A simple, general model for the affine self-similarity of images [C]// Proceedings of the 5th International Conference on Image Analysis and Recognition, Póvoa de Varzim, Portugal, 2008: 192-203.

[11] Ebrahimi M, Vrscay E．Examining the role of scale in the context of the non-local means filter [C]// Proceedings of the 5th International Conference on Image Analysis and Recognition, Póvoa de Varzim, Portugal, 2008: 170-181.

[12] Lou Y, Favaro P, Soatto S. Nonlocal similarity image filtering [R]. Reports CAM, 2008: 8-26.

[13] Kleinschmidt O, Brox T, Cremers D. Nonlocal texture filtering with efficient tree structures and invariant patch similarity measures [C]// Proceedings of the International Workshop on Local and Non-Local Approximation in Image Processing, Lausanne, Switzerland, 2008: 103-113.

[14] SUN Weifeng, PENG Yuhua, HWANG Wenliang. Modified similarity metric for non-local means algorithm [J]. Electronics Letters(S0013-5194), 2009, 45(25): 1307-1309.

[15] Zimmer S, Didas S, Weickert J. A rotationally invariant block matching strategy improving image denoising with non-local means [C]// Proceedings of the International Workshop on Local and Non-Local Approximation in Image Processing, Lausanne, Switzerland, 2008: 135-142.

[16] JI Zexuan, CHEN Qiang, SUN Quansen, et al. A moment-based nonlocal-means algorithm for image denoising [J]. Information Processing Letters(S0020-0190), 2009, 109(9): 1238-1244.

[17] Chong C, Raveendran P, Mukundan R. A comparative analysis of algorithm for fast computation of Zernike moments [J]. Pattern Recognition(S0031-3203), 2003, 36(3): 731-742.

[18] YE Bin, PENG Jiaxiong. Invariance analysis of improved Zernike moments [J]. Journal of Optics A: Pure and Applied Optics(S1464-4258), 2002, l(4): 606-614.

[19] WANG Zhou, Bovik A, Sheikh H, et al. Image quality assessment: from error visibility to structural similarity [J]. IEEE Transactions on Image Processing(S1057-7149), 2004, 13(4): 1-14.