Post-processing Optimization
Post-Processing Optimization is a computational technique in image optimization that refines already-generated images through algorithmic adjustments to enhance visual quality, fidelity, or compression efficiency without reprocessing the original rendering or encoding pipeline.
143
Publications
7.6K
Citations
638
Authors
289
Institutions
Publications per year
2017–2026
87
Parents
143
Real-time terahertz imaging with a single-pixel detector
Rayko I. Stantchev, Xiao Yu, Thierry Blu et al. · Nature Communications · 2020 · 481 citations · Full text
Engineering, Biomedical Engineering, Electrical Engineering +17
1–5 of 143
638
3
h-index
3
h-index
3
h-index
3
h-index
Chinese University of Hong Kong, Hong Kong SAR China
3 publications · 56 citations
3
h-index
1–5 of 638
289

Centre National de la Recherche Scientifique
Paris, France
4 h-index
13 publications
739 citations
University of California, Irvine
Irvine, United States
3 h-index
4 publications
202 citations
Cadence Design Systems (United States)
San Jose, United States
3 h-index
3 publications
56 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
8 publications
318 citations

University of Waterloo
Waterloo, Canada
3 h-index
6 publications
170 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
324 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
9 publications
874 citations
Baidu (China)
Beijing, China
2 h-index
17 publications
842 citations
1–8 of 289
JMP · 3 publications · 156 citations
3
h-index
2 publications · 157 citations
2
h-index
2 publications · 31 citations
2
h-index
Repository · 2 publications · 31 citations
2
h-index
2 publications · 88 citations
2
h-index
1–5