Image Quality Assessment
Image Quality Assessment is a methodological subfield of diagnostic imaging that develops and applies qualitative and quantitative criteria, observer studies, and computational metrics to evaluate how well an acquired image reproduces anatomically and clinically relevant structures for accurate diagnosis.
11K
Publications
690.6K
Citations
36K
Authors
5.9K
Institutions
Publications per year
2017–2026
3.9K
Variants
Iqa
11K
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh et al. · IEEE Transactions on Image Processing · 2004 · 56K citations
Multiscale structural similarity for image quality assessment
Zhou Wang, Eero P. Simoncelli, Alan C. Bovik · 2004 · 5.9K citations
A universal image quality index
Zhou Wang, Alan C. Bovik · IEEE Signal Processing Letters · 2002 · 5.7K citations
1–5 of 11K
36K
69
h-index
63
h-index
52
h-index
46
h-index
46
h-index
1–5 of 36K
5.9K
Nanyang Technological University
Singapore, Singapore
77 h-index
383 publications
36.4K citations
The University of Texas at Austin
Austin, United States
71 h-index
322 publications
237.1K citations

Shanghai Jiao Tong University
Shanghai, China
65 h-index
722 publications
59.5K citations
Stanford University
Stanford, United States
56 h-index
452 publications
33.8K citations
Harvard University
Cambridge, United States
51 h-index
424 publications
39.6K citations
Massachusetts General Hospital
Boston, United States
51 h-index
374 publications
30.6K citations
Siemens Healthineers (Germany)
Forchheim, Germany
48 h-index
227 publications
14.3K citations

Centre National de la Recherche Scientifique
Paris, France
47 h-index
413 publications
20.5K citations
1–8 of 5.9K
268 publications · 118.6K citations
105
h-index
469 publications · 26.8K citations
81
h-index
243 publications · 23.3K citations
79
h-index
AJR · 218 publications · 12.9K citations
59
h-index
131 publications · 10.7K citations
58
h-index
1–5