| From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms | |
Shao, Ling1,2; Yan, Ruomei2; Li, Xuelong3 ; Liu, Yan4
| |
| 作者部门 | 光学影像学习与分析中心 |
| 2014-07-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON CYBERNETICS
 |
| ISSN | 2168-2267 |
| 卷号 | 44期号:7页码:1001-1013 |
| 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. |
| 文章类型 | Article |
| 关键词 | Adaptive Filters Dictionary Learning Evaluation Image Denoising Sparse Coding Spatial Domain Survey Transform Domain |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TCYB.2013.2278548 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | NONLOCAL MEANS ; SPARSE REPRESENTATION ; QUALITY ASSESSMENT ; WAVELET-DOMAIN ; TRANSFORM ; FILTER ; CLASSIFICATION ; APPROXIMATION ; RESTORATION ; EDGES |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS记录号 | WOS:000342225800002 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/22363 |
| 专题 | 光谱成像技术研究室 |
| 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. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| From Heuristic Optim（12238KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论