Image Quality Benchmarking
Image Quality Benchmarking is a systematic evaluation framework that establishes standardized datasets, metrics, and protocols to objectively assess and compare the performance of image quality assessment models within the academic domain of visual quality analysis.
631
Publications
41.8K
Citations
3.1K
Authors
967
Institutions
Publications per year
2017–2026
279
Parents
631
Human and machine recognition of faces: a survey
Rama Chellappa, Charles L. Wilson, Saad Sirohey · Proceedings of the IEEE · 1995 · 2.5K citations
Blind image quality evaluation using perception based features
N. Venkatanath, D Praneeth, Maruthi Chandrasekhar Bh et al. · 2015 · 929 citations
1–5 of 631
3.1K
11
h-index
École Polytechnique Fédérale de Lausanne, Switzerland
10 publications · 577 citations
10
h-index
10
h-index
9
h-index
7
h-index
1–5 of 3.1K
967
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
16 h-index
43 publications
3K citations

Shanghai Jiao Tong University
Shanghai, China
14 h-index
50 publications
4.6K citations
Siemens Healthineers (Germany)
Forchheim, Germany
14 h-index
40 publications
2K citations

Peking University
Beijing, China
12 h-index
37 publications
3.9K citations
Stanford University
Stanford, United States
10 h-index
18 publications
1.2K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
24 publications
717 citations
Nanyang Technological University
Singapore, Singapore
10 h-index
16 publications
3.5K citations
University Hospital of Zurich
Zurich, Switzerland
8 h-index
45 publications
2.7K citations
1–8 of 967
JMRI · 22 publications · 713 citations
16
h-index
AJR · 16 publications · 1.2K citations
15
h-index
15 publications · 560 citations
14
h-index
20 publications · 879 citations
14
h-index
Repository · 19 publications · 706 citations
13
h-index
1–5