Yang J C, Wright J, Huang T S, Ma Y. Image super-resolution via sparse representation. IEEE Transactions on Image Processing, 2010, 19(11): 2861-2873
[2]
Lian Qiu-Sheng, Zhang Jun-Qin, Chen Shu-Zhen. Single image super-resolution algorithm based on two-stage and multi-frequency-band dictionaries. Acta Automatica Sinica, 2013, 39(8): 1310-1320 (练秋生, 张钧芹, 陈书贞. 基于两级字典与分频带字典的图像超分辨率算法. 自动化学报, 2013, 39(8): 1310-1320)
[3]
Farsiu S, Robinson M D, Elad M, Milanfar P. Fast and robust multiframe super-resolution. IEEE Transactions on Image Processing, 2004, 13(10): 1327-1344
[4]
Wang Guang-Xin, Wang Zheng-Ming. SAR image targets super-resolution based on regularization with variable norms. Acta Electronica Sinica, 2008, 36(12): 2389-2393 (王光新, 王正明. SAR图像目标超分辨的变范数正则化算法. 电子学报, 2008, 36(12): 2389-2393)
[5]
Chantas G K, Galatsanos N P, Woods N A. Super-resolution based on fast registration and maximum a posteriori reconstruction. IEEE Transactions on Image Processing, 2007, 16(7): 1821-1830
[6]
Zhang Dong-Ming, Pan Wei, Chen Huai-Xin. Spatio-temporal adaptive super-resolution reconstruction of video sequence based on MAP frame. Acta Automatica Sinica, 2009, 35(5): 484-490 (张冬明, 潘炜, 陈怀新. 基于MAP框架的时空联合自适应视频序列超分辨率重建. 自动化学报, 2009, 35(5): 484-490)
[7]
Ji H, Fermüller C. Robust wavelet-based super-resolution reconstruction: theory and algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(4): 649-660
[8]
Panda S S, Prasad M S R S, Jena G. POCS based super-resolution image reconstruction using an adaptive regularization parameter. International Journal of Computer Science Issues, 2011, 8(5): 155-158
[9]
Baker S, Kanade T. Limits on super-resolution and how to break them. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(9): 1167-1183
Kolmogorov V, Zabih R. What energy functions can be minimized via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(2): 147-159
[13]
Boykov Y, Kolmogorov V. An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(9): 1124-1137
[14]
Glasner D, Bagon S, Irani M. Super-resolution from a single image. In: Proceedings of the 12th IEEE International Conference on Computer Vision. Kyoto, Japan: IEEE, 2009. 349-356
[15]
Pan Zong-Xu, Yu Jing, Hu Shao-Xing, Sun Wei-Dong. Single image super resolution based on multi-scale structural self-similarity. Acta Automatica Sinica, 2014, 40(4): 594-603(潘宗序, 禹晶, 胡少兴, 孙卫东. 基于多尺度结构自相似性的单幅图像超分辨率算法. 自动化学报, 2014, 40(4): 594-603)
[16]
Sun Yu-Bao, Fei Xuan, Wei Zhi-Hui, Xiao Liang. Sparsity regularized image super-resolution model via forward-backward. Acta Automatica Sinica, 2010, 36(9): 1232-1238 (孙玉宝, 费选, 韦志辉, 肖亮. 基于前向后向算子分裂的稀疏性正则化图像超分辨率算法. 自动化学报, 2010, 36(9): 1232-1238)
[17]
Li Min, Cheng Jian, Le Xiang, Luo Huan-Min. Super-resolution based on sparse dictionary coding. Journal of Software, 2012, 23(5): 1316-1324 (李民, 程建, 乐翔, 罗环敏. 稀疏字典编码的超分辨率重建. 软件学报, 2012, 23(5): 1316-1324)
[18]
Li X L, Hu Y T, Gao X B, Tao D C, Ning B J. A multi-frame image super-resolution method. Signal Processing, 2010, 90(2): 405-414
[19]
An Yao-Zu, Lu Yao, Zhao Hong. An adaptive-regularized image super-resolution. Acta Automatica Sinica, 2012, 38(4): 601-608 (安耀祖, 陆耀, 赵红. 一种自适应正则化的图像超分辨率算法. 自动化学报, 2012, 38(4): 601-608)
[20]
Mudenagudi U, Banerjee S, Kalra P K. Space-time super-resolution using graph-cut optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(5): 995-1008
[21]
Lu Lin, Li Cui-Hua, Zhang Zhen, Yu Li-Bo, Zhang Dong-Xiao, Shi Hua. A method of images super-resolution reconstruction based on MRT-MAP frame. Journal of Xiamen University (Natural Science), 2012, 51(4): 696-700 (鲁林, 李翠华, 张珍, 余礼钹, 张东晓, 施华. 一种MRF-MAP框架下的图像超分辨率重建方法. 厦门大学学报(自然科学版), 2012, 51(4): 696-700)
[22]
Zhang Di, He Jia-Zhong. Feature space based face super-resolution reconstruction. Acta Automatica Sinica, 2012, 38(7): 1145-1152 (张地, 何家忠. 基于特征空间的人脸超分辨率重构. 自动化学报, 2012, 38(7): 1145-1152)
[23]
Li Cui-Hua, Shi Hua, Dai Ping-Yang, Chen Jing, Du Xiao-Feng, Qu Yan-Yun, Xie Yi. Super-resolution image reconstruction based on gestalt theory. Journal of Xiamen University (Natural Science), 2011, 50(2): 261-270 (李翠华, 施华, 戴平阳, 陈婧, 杜晓凤, 曲延云, 谢怡. 引入格式塔理论的超分辨率图像重建技术. 厦门大学学报(自然科学版), 2011, 50(2): 261-270)
[24]
Huang Hua, Fan Xin, Qi Chun, Zhu Shi-Hua. Face image super-resolution reconstruction based on recognition and projection onto convex sets. Journal of Computer Research and Development, 2005, 42(10): 1718-1725 (黄华, 樊鑫, 齐春, 朱世华. 基于识别的凸集投影人脸图像超分辨率重建. 计算机研究与发展, 2005, 42(10): 1718-1725)
[25]
Takeda H, Milanfar P, Protter M, Elad M. Super-resolution without explicit subpixel motion estimation. IEEE Transactions on Image Processing, 2009, 18(9): 1958-1975
[26]
Ben-Ezra M, Lin Z C, Wilburn B, Zhang W. Penrose pixels for super-resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(7): 1370-1383
[27]
Ben-Ezra M, Zomet A, Nayar S K. Video super-resolution using controlled subpixel detector shifts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(6): 977-987
[28]
Boykov Y, Veksler O, Zabih R. Fast approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(11): 1222-1239
[29]
Bergen J R, Anandan P, Hanna K J, Hingorani R. Hierarchical model-based motion estimation. In: Proceedings of the 2nd European Conference on Computer Vision. London, UK: IEEE, 1992. 237-252
