Perceptual Image Compression

Perceptual Image Compression is a method of image compression that prioritizes the preservation of visually salient features according to human perceptual sensitivity, rather than minimizing pixel-wise distortion, by leveraging models of perceptual judgment to guide the compression process.

107

Publications

12.9K

Citations

285

Authors

161

Institutions

Publications per year

2017–2026

24

Authors

285

  1. FE
    Ferda Ernawan

    Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia

    5 publications · 91 citations

    5

    h-index

  2. NA
    Nur Azman Abu

    Technical University of Malaysia Malacca, Malaysia

    4 publications · 76 citations

    4

    h-index

  3. SK
    Sam Kwong

    City University of Hong Kong, Hong Kong SAR China

    4 publications · 145 citations

    4

    h-index

  4. SW
    Shiqi Wang

    City University of Hong Kong, Hong Kong SAR China

    4 publications · 168 citations

    4

    h-index

  5. WL
    Weisi Lin

    Nanyang Technological University, Singapore

    4 publications · 172 citations

    4

    h-index

1–5 of 285

Venues

  1. IEEE Transactions on Image Processing

    13 publications · 1.2K citations

    13

    h-index

  2. 9

    h-index

  3. 8

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 131 citations

    6

    h-index

  5. Multimedia Tools and Applications

    2 publications · 37 citations

    2

    h-index

1–5