Super resolution reconstruction based on L1-norm and orthogonal gradient operator

［1］吴俊, 吴桢. 合成孔径光学系统的成像特性和图像复原［J］. 应用光学, 2010, 31(4): 567-573.
WU Jun, WU Zhen. Imaging characteristic and image reconstruction of synthetic aperture optical system［J］. Journal of Applied Optics, 2010, 31(4): 567-573. (in Chinese with an English abstract)
［2］王桥. 数字图像处理［M］. 北京: 科学出版社, 2009.
WANG Qiao. Digital image processing［M］. Beijing: Science Press, 2009. (in Chinese)
［3］张翼飞, 李良福, 王娇颖, 等. 基于超分辨率重建的图像增强算法研究［J］. 应用光学, 2011, 32(2): 250-255.
ZHANG Yi-fei, LI Liang-fu, WANG Jiao-ying, et al. Image enhancement algorithm based on super resolution reconstruction［J］. Journal of Applied Optics, 2011, 32(2): 250-255. (in Chinese with an English abstract)
［4］曾三友, 康立山, 丁立新. 正则图像恢复中正则化算子选取的定性分析［J］. 计算机工程与应用, 2003, 39(15): 42-44.
ZENG San-you, KANG Li-shan, DING Li-xin. A qualitative analysis of the selection of regularization operator in image resolution［J］. Computer Engineering and Applications, 2003, 39(15): 42-44. (in Chinese with an English abstract)
［5］LUCAS B, KANADA T. An iterative image registration technique with an application to stereo vision［C］. Vancouver: Proceedings of the International Joint Conference on Artificial Intelligence, 1981: 674-679.
［6］FARSIU S, ROUBINSON M D, ELAD M, et al. Fast and robust multi-frame super resolution［J］. IEEE Transaction on Image Processing, 2004, 13(10): 1327-1344.
［7］张正贤. 正则超分辨率图像复原算法研究［D］. 西安: 西北工业大学, 2006.
ZHANG Zheng-xian. Research on reconstruction technology of super resolution based on regularization［D］. Xi-an: Northwestern Polytechnical University, 2006. (in Chinese)
［8］路庆春, 胡访宇. L1范数的图像超分辨率重建改进算法［J］. 信号与信息处理, 2009, 9(39): 13-15.
LU Qing-chun, HU Fang-yu. Improved image super-resolution resolution algorithm based on L1-norm［J］. Signal and Information Processing, 2009, 9(39): 13-15. (in Chinese with an English abstract)
［9］倚海伦, 王庆. 基于L1范数的图像超分辨率及差分统计模型［J］. 计算机工程, 2007, 33(24): 203-205.
YI Hai-lun, WANG Qing. L1-norm-based image super-resolution and its differential statistical model［J］. Computer Engineering, 2007, 33(24): 203-205. (in Chinese with an English abstract)
［10］沈焕锋, 李平湘, 张良培. 一种自适应正则MAP超分辨率重建方法［J］. 武汉大学学报:信息科学版, 2006, 31(11): 949-952.
SHEN Huan-feng, LI Ping-xiang, ZHANG Liang-pei. Adaptive regularized MAP super-resolution reconstruction method［J］. Geomatics and Information Science of Wuhan University, 2006, 31(11): 949-952. (in Chinese with an English abstract)
［11］狄红卫, 刘显峰. 基于结构相似度的图像融合质量评价［J］. 光子学报, 2006, 35(5): 766-770.
DI Hong-wei, LIU Xian-feng. Image fusion quality assessment based on structural similarity［J］. Acta Photonica Sinica, 2006, 35(5): 766-770. (in Chinese with an English abstract)
［12］MILANFAR P, FARSIU S, ROBINSON D. MDSP super resolution and demosaicing datasets［DB/OL］. ［2011-04-15］. http://www.soe.ucsc.edu/~milanfar/software/srdatasets.html.
［13］熊兴华, 张丽. 一种基于灰度预测误差统计的影像质量评价方法［J］. 中国图像图形学报, 2004, 9(3): 302-307.
XIONG Xing-hua, ZHANG Li. An image quality evaluation method based on gray prediction error［J］. Journal of Image and Graphics, 2004, 9(3): 302-307. (in Chinese with an English abstract)