Reference-based Quality Assessment

Reference-Based Quality Assessment is a type of image quality assessment that relies on the availability of an original, undistorted reference image to evaluate the quality of a distorted image by measuring perceptual differences between the two.

116

Publications

6.2K

Citations

360

Authors

166

Institutions

Publications per year

2017–2026

42

Variants

Fr-iqa

Authors

360

  1. PL
    Patrick Le Callet

    Nantes Université, France

    7 publications · 452 citations

    7

    h-index

  2. AC
    Alan C. Bovik

    The University of Texas at Austin, United States

    7 publications · 937 citations

    7

    h-index

  3. WL
    Weisi Lin

    Nanyang Technological University, Singapore

    6 publications · 224 citations

    6

    h-index

  4. DB
    Dominique Barba

    Nantes Université, France

    5 publications · 643 citations

    5

    h-index

  5. LL
    Leida Li

    Xidian University, China

    5 publications · 144 citations

    5

    h-index

1–5 of 360

Venues

  1. Signal Processing Image Communication

    8 publications · 792 citations

    8

    h-index

  2. 7

    h-index

  3. IEEE Transactions on Image Processing

    7 publications · 431 citations

    7

    h-index

  4. Neurocomputing

    4 publications · 267 citations

    4

    h-index

  5. Multimedia Tools and Applications

    3 publications · 39 citations

    3

    h-index

1–5