A Content-Adaptive Method for Image Denoising
文献类型：期刊论文
| 作者 | Chen, Hao1,3; He, Yi2,4; Wei, Ling1,3; Li, Xiqi1; Yang, Jinsheng1; Zhang, Yudong1 |
| 刊名 | IEEE Access
 |
| 出版日期 | 2019 |
| 卷号 | 7页码:183222-183235 |
| 关键词 | Image denoising structural complexity patch size patch number denoising limit content-adaptive |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2019.2958697 |
| 文献子类 | 期刊论文 |
| 英文摘要 | In this paper, we firstly analyze the statistical distribution of simultaneous sparse coding errors (SSCE), which reflects the local correlation and non-local correlation characteristics of natural images. Based on the observation, we establish the optimal denoising problem which uses $L_{1}$ norm to constrain the image prior. According to the close-form solution of the proposed problem, we find that the denoising limit is only determined by the patch number, patch size and the variances of different bands in SSCE. Then we exploit the relationships between the patch complexity, patch size, patch number and the denoising limit. The study shows that a content-adaptive strategy may be useful to obtain better denoising performance. We then design a content-adaptive method for image denoising in which the groups are adaptively determined according to the structural complexities of reference patches. Experimental results show that the proposed scheme achieves competitive performance with several state-of-the-art methods in both subjective and objective aspects. © 2013 IEEE. |
| WOS关键词 | SPARSE REPRESENTATION ; NONLOCAL IMAGE ; LOW-RANK ; ALGORITHM ; RESTORATION |
| WOS研究方向 | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000509527200035 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/9693]  |
| 专题 | 光电技术研究所_自适应光学技术研究室（八室） |
| 作者单位 | 1.Key Laboratory on Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China; 2.Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou; 215163, China 3.Jiangsu Key Laboratory of Medical Optics, Suzhou, China; 4.College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing; 100049, China; |
| 推荐引用方式 GB/T 7714 | Chen, Hao,He, Yi,Wei, Ling,et al. A Content-Adaptive Method for Image Denoising[J]. IEEE Access,2019,7:183222-183235. |
| APA | Chen, Hao,He, Yi,Wei, Ling,Li, Xiqi,Yang, Jinsheng,&Zhang, Yudong.(2019).A Content-Adaptive Method for Image Denoising.IEEE Access,7,183222-183235. |
| MLA | Chen, Hao,et al."A Content-Adaptive Method for Image Denoising".IEEE Access 7(2019):183222-183235. |
入库方式： OAI收割
来源：光电技术研究所
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