Blur Kernel Estimation by Structure Sparse Prior | |
Yuan, Xiaobin1,3; Zhu, Jingping3; Li, Xiaobin2 | |
刊名 | APPLIED SCIENCES-BASEL |
2020-01 | |
卷号 | 10期号:2 |
关键词 | blind image deblurring blur kernel estimation structure information sparsity regularization locality constraint |
ISSN号 | 2076-3417 |
DOI | 10.3390/app10020657 |
产权排序 | 1 |
英文摘要 | Blind image deblurring tries to recover a sharp version from a blurred image, where blur kernel is usually unknown. Recently, sparse representation has been successfully applied to estimate the blur kernel. However, the sparse representation has not considered the structure relationships among original pixels. In this paper, a blur kernel estimation method is proposed by introducing the locality constraint into sparse representation framework. Both the sparsity regularization and the locality constraint are incorporated to exploit the structure relationships among pixels. The proposed method was evaluated on a real-world benchmark dataset. Experimental results demonstrate that the proposed method achieve comparable performance to the state-of-the-art methods. |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000522540400233 |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/93398] |
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.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 2.Beijing Inst Remote Sensing Informat, Beijing 100192, Peoples R China 3.Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China |
推荐引用方式 GB/T 7714 | Yuan, Xiaobin,Zhu, Jingping,Li, Xiaobin. Blur Kernel Estimation by Structure Sparse Prior[J]. APPLIED SCIENCES-BASEL,2020,10(2). |
APA | Yuan, Xiaobin,Zhu, Jingping,&Li, Xiaobin.(2020).Blur Kernel Estimation by Structure Sparse Prior.APPLIED SCIENCES-BASEL,10(2). |
MLA | Yuan, Xiaobin,et al."Blur Kernel Estimation by Structure Sparse Prior".APPLIED SCIENCES-BASEL 10.2(2020). |
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