Total Variation Denoising
Total Variation Denoising is a variational image filtering method that minimizes the total variation of the image while preserving edges, thereby effectively reducing noise by favoring piecewise-smooth solutions.
515
Publications
64.1K
Citations
1.2K
Authors
527
Institutions
Publications per year
2017–2026
196
Variants
Rof ModelRudin-osher-fatemi ModelTv Denoising
515
Atomic Decomposition by Basis Pursuit
Scott Shaobing Chen, David L. Donoho, Michael A. Saunders · SIAM Review · 2001 · 5.1K citations
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Cincinnati Children's Hospital Medical Center, United States
7 publications · 279 citations
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1–5 of 1.2K
527
University of California, Los Angeles
Los Angeles, United States
18 h-index
42 publications
10.8K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
33 publications
2K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
28 publications
838 citations

University of Electronic Science and Technology of China
Chengdu, China
11 h-index
31 publications
1.3K citations

Xi'an Jiaotong University
Xi'an, China
11 h-index
28 publications
1K citations
University of Graz
Graz, Austria
10 h-index
14 publications
1.5K citations
Wuhan University
Wuhan, China
9 h-index
27 publications
3.3K citations
New York University
New York, United States
9 h-index
14 publications
1.4K citations
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29 publications · 6K citations
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SIIMS · 21 publications · 2.4K citations
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16 publications · 1.2K citations
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14 publications · 937 citations
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13 publications · 1.2K citations
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