Robust multiframe images super resolution | |
Zong, Caihui1,2; Zhao, Hui1; Xie, Xiaopeng1,2; Li, Chuang1 | |
2017 | |
会议日期 | 2017-06-04 |
会议地点 | Beijing, China |
卷号 | 10462 |
DOI | 10.1117/12.2285139 |
英文摘要 | Super-resolution image reconstruction is a process to reconstruct high-resolution images from shifted, low-resolution, degraded observations. In the last two decades, a variety of super-resolution methods have been proposed. These methods are usually very sensitive to their assumed model of data and noise, which limits their utility. This paper reviews some of these methods and addresses their shortcomings. We propose an alternate approach using 1norm minimization and robust regularization based on a bilateral prior to deal with different data and noise models. This computationally inexpensive method is robust to errors in motion and blur estimation and results in images with sharp edges. Experimental results confirm the effectiveness of our method and demonstrate its superiority to other super-resolution methods. © 2017 SPIE. |
产权排序 | 1 |
会议录 | AOPC 2017: Optical Sensing and Imaging Technology and Applications
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会议录出版者 | SPIE |
语种 | 英语 |
ISSN号 | 0277786X |
ISBN号 | 9781510614055 |
内容类型 | 会议论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/29898] ![]() |
专题 | 西安光学精密机械研究所_空间光学应用研究室 |
作者单位 | 1.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Science, No.17, Xinxi Road, Xi'an, 710119, China 2.Graduate School of University of Chinese Academy of Science, Jingjia Road, Beijing, 100049, China |
推荐引用方式 GB/T 7714 | Zong, Caihui,Zhao, Hui,Xie, Xiaopeng,et al. Robust multiframe images super resolution[C]. 见:. Beijing, China. 2017-06-04. |
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