Image Deblurring
Image Deblurring is an inverse problem methodology in image reconstruction that specifically aims to recover a sharp, latent image from a blurred observation by modeling and inverting the underlying degradation process, typically characterized by a point spread function.
1.8K
Publications
150.7K
Citations
4.2K
Authors
1.3K
Institutions
Publications per year
2017–2026
845
1.8K
Learning Deep CNN Denoiser Prior for Image Restoration
Kai Zhang, Wangmeng Zuo, Shuhang Gu et al. · 2017 · 2.1K citations · Full text
1–5 of 1.8K
4.2K
34
h-index
32
h-index
18
h-index
18
h-index
17
h-index
1–5 of 4.2K
1.3K
University of California, Merced
Merced, United States
32 h-index
63 publications
14.5K citations

Chinese Academy of Sciences
Beijing, China
30 h-index
136 publications
7.5K citations
Nanjing University of Science and Technology
Nanjing, China
29 h-index
88 publications
6.1K citations
National University of Singapore
Singapore, Singapore
27 h-index
72 publications
5K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
26 h-index
50 publications
16.2K citations

Harbin Institute of Technology
Harbin, China
26 h-index
86 publications
13.3K citations

University of Electronic Science and Technology of China
Chengdu, China
25 h-index
125 publications
4.8K citations

Centre National de la Recherche Scientifique
Paris, France
25 h-index
55 publications
5.6K citations
1–8 of 1.3K
119 publications · 14.7K citations
55
h-index
TPAMI · 35 publications · 5.5K citations
31
h-index
Repository · 55 publications · 2.3K citations
24
h-index
44 publications · 1.5K citations
23
h-index
SIIMS · 26 publications · 16.8K citations
22
h-index
1–5