Image Quality Metrics
Image Quality Metrics is a quantitative framework used to assess the perceptual or structural fidelity of digital images by measuring deviations from a reference or ideal image, distinguishing it from qualitative evaluations through its reliance on mathematical or statistical models.
2.5K
Publications
232.4K
Citations
6.9K
Authors
2K
Institutions
Publications per year
2017–2026
741
Parents
2.5K
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
Image Quality Metrics: PSNR vs. SSIM
Alain Horé, Djemel Ziou · 2010 · 4.4K citations
1–5 of 2.5K
6.9K
42
h-index
41
h-index
37
h-index
29
h-index
28
h-index
1–5 of 6.9K
2K
Nanyang Technological University
Singapore, Singapore
45 h-index
155 publications
13.7K citations
The University of Texas at Austin
Austin, United States
44 h-index
133 publications
170.5K citations

University of Waterloo
Waterloo, Canada
31 h-index
95 publications
15.7K citations

Shanghai Jiao Tong University
Shanghai, China
30 h-index
226 publications
17.9K citations

Centre National de la Recherche Scientifique
Paris, France
28 h-index
127 publications
5K citations

Xidian University
Xi'an, China
26 h-index
116 publications
7.8K citations

Beijing University of Technology
Beijing, China
24 h-index
39 publications
2.9K citations

Nantes Université
Nantes, France
22 h-index
62 publications
3.6K citations
1–8 of 2K
106 publications · 83K citations
62
h-index
170 publications · 7.7K citations
43
h-index
63 publications · 6.3K citations
32
h-index
55 publications · 2.5K citations
27
h-index
30 publications · 2.7K citations
25
h-index
1–5