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From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms
Shao, Ling1,2; Yan, Ruomei2; Li, Xuelong3; Liu, Yan4
Department光学影像学习与分析中心
2014-07-01
Source PublicationIEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
Volume44Issue:7Pages:1001-1013
AbstractImage 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.
SubtypeArticle
KeywordAdaptive Filters Dictionary Learning Evaluation Image Denoising Sparse Coding Spatial Domain Survey Transform Domain
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TCYB.2013.2278548
Indexed BySCI ; EI
WOS KeywordNONLOCAL MEANS ; SPARSE REPRESENTATION ; QUALITY ASSESSMENT ; WAVELET-DOMAIN ; TRANSFORM ; FILTER ; CLASSIFICATION ; APPROXIMATION ; RESTORATION ; EDGES
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000342225800002
Citation statistics
Cited Times:170[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/22363
Collection光学影像学习与分析中心
Affiliation1.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
Recommended Citation
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.
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