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

Authors

6.9K

  1. AC
    Alan C. Bovik

    The University of Texas at Austin, United States

    59 publications · 87.1K citations

    42

    h-index

  2. WL
    Weisi Lin

    Nanyang Technological University, Singapore

    78 publications · 6.8K citations

    41

    h-index

  3. ZW
    Zhou Wang

    University of Waterloo, Canada

    46 publications · 80.2K citations

    37

    h-index

  4. GZ
    Guangtao Zhai

    Shanghai Jiao Tong University, China

    44 publications · 4.7K citations

    29

    h-index

  5. KG
    Ke Gu

    Shanghai Jiao Tong University, China

    45 publications · 3.8K citations

    28

    h-index

1–5 of 6.9K

Venues

  1. IEEE Transactions on Image Processing

    106 publications · 83K citations

    62

    h-index

  2. 43

    h-index

  3. Signal Processing Image Communication

    63 publications · 6.3K citations

    32

    h-index

  4. Medical Physics

    55 publications · 2.5K citations

    27

    h-index

  5. 25

    h-index

1–5