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From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms
文献类型：期刊论文
| 作者 | Shao, Ling1,2; Yan, Ruomei2; Li, Xuelong3 ; Liu, Yan4
|
| 刊名 | ieee transactions on cybernetics
 |
| 出版日期 | 2014-07-01 |
| 卷号 | 44期号:7页码:1001-1013 |
| 关键词 | Adaptive filters dictionary learning evaluation image denoising sparse coding spatial domain survey transform domain |
| ISSN号 | 2168-2267 |
| 英文摘要 | image denoising is a well explored topic in the field of image processing. in the past several decades, the progress made in image denoising has benefited from the improved modeling of natural images. in this paper, we introduce a new taxonomy based on image representations for a better understanding of state-of-the-art image denoising techniques. within each category, several representative algorithms are selected for evaluation and comparison. the experimental results are discussed and analyzed to determine the overall advantages and disadvantages of each category. in general, the nonlocal methods within each category produce better denoising results than local ones. in addition, methods based on overcomplete representations using learned dictionaries perform better than others. the comprehensive study in this paper would serve as a good reference and stimulate new research ideas in image denoising. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, artificial intelligence ; computer science, cybernetics |
| 研究领域[WOS] | computer science |
| 关键词[WOS] | nonlocal means ; sparse representation ; quality assessment ; wavelet-domain ; transform ; filter ; classification ; approximation ; restoration ; edges |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000342225800002 |
| 公开日期 | 2015-03-18 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/22363]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Nanjing Univ Informat Sci & Technol, Coll Elect & Informat Engn, Nanjing 210044, Jiangsu, Peoples R China 2.Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England 3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT Imagery Anal & Learning, Xian 710119, Peoples R China 4.Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shao, Ling,Yan, Ruomei,Li, Xuelong,et al. From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms[J]. ieee transactions on cybernetics,2014,44(7):1001-1013. |
| APA | Shao, Ling,Yan, Ruomei,Li, Xuelong,&Liu, Yan.(2014).From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms.ieee transactions on cybernetics,44(7),1001-1013. |
| MLA | Shao, Ling,et al."From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms".ieee transactions on cybernetics 44.7(2014):1001-1013. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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