Denoising
Denoising is a signal enhancement method that distinguishes itself by selectively attenuating irrelevant or structured noise components from acquired data while preserving biologically or physically meaningful signals in the context of Acoustic Signal Processing, Digital Image Processing, Single-Cell Clustering, and Single-Cell Transcriptomics.
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484.2K
Citations
18.7K
Authors
3.5K
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Publications per year
2017–2026
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7.3K
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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Centre National de la Recherche Scientifique
Paris, France
54 h-index
411 publications
37K citations

Chinese Academy of Sciences
Beijing, China
47 h-index
433 publications
18.8K citations

Harbin Institute of Technology
Harbin, China
42 h-index
311 publications
54.8K citations

Xidian University
Xi'an, China
38 h-index
251 publications
18.2K citations

University of Electronic Science and Technology of China
Chengdu, China
36 h-index
217 publications
13.9K citations
University of Illinois Urbana-Champaign
Urbana, United States
36 h-index
120 publications
17.5K citations
Tsinghua University
Beijing, China
36 h-index
209 publications
16.2K citations
Stanford University
Stanford, United States
36 h-index
150 publications
46.6K citations
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276 publications · 71.4K citations
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145 publications · 12.8K citations
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93 publications · 8.5K citations
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Repository · 272 publications · 9.8K citations
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154 publications · 7.6K citations
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