Image Denoising
Image Denoising is a computational method within image preprocessing that specifically aims to remove noise from degraded images while preserving structural details, thereby enhancing image quality for subsequent analysis or reconstruction.
6.6K
Publications
488K
Citations
14.3K
Authors
3.1K
Institutions
Publications per year
2017–2026
2.6K
6.6K
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen et al. · IEEE Transactions on Image Processing · 2017 · 8.8K citations · Full text
A Non-Local Algorithm for Image Denoising
Antoni Buades, B. Coll, Jean‐Michel Morel · 2005 · 7.1K citations
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42 publications · 14K citations
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Centre National de la Recherche Scientifique
Paris, France
57 h-index
336 publications
37.9K citations

Chinese Academy of Sciences
Beijing, China
41 h-index
324 publications
14.3K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
41 h-index
136 publications
13.3K citations

Harbin Institute of Technology
Harbin, China
41 h-index
264 publications
49.2K citations

University of Electronic Science and Technology of China
Chengdu, China
39 h-index
275 publications
16K citations
University of California, Los Angeles
Los Angeles, United States
37 h-index
105 publications
14.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
35 h-index
113 publications
15.1K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
35 h-index
118 publications
49.6K citations
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409 publications · 96.1K citations
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113 publications · 11.7K citations
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109 publications · 11.5K citations
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Repository · 182 publications · 8.1K citations
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SIIMS · 68 publications · 22.6K citations
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