Perceptual Coding

Perceptual Coding is a lossy data compression technique that exploits the limitations and characteristics of human sensory perception to selectively discard imperceptible information, thereby achieving efficient signal representation while preserving perceived quality.

455

Publications

30.6K

Citations

1.1K

Authors

469

Institutions

Publications per year

2017–2026

84

Authors

1.1K

  1. WL
    Weisi Lin

    Nanyang Technological University, Singapore

    10 publications · 650 citations

    10

    h-index

  2. ES
    Eckehard Steinbach

    Technical University of Munich, Germany

    8 publications · 525 citations

    8

    h-index

  3. JH
    Jürgen Herre

    Fraunhofer Institute for Integrated Circuits, Germany

    8 publications · 234 citations

    8

    h-index

  4. SW
    Shiqi Wang

    City University of Hong Kong, Hong Kong SAR China

    7 publications · 395 citations

    7

    h-index

  5. KN
    King Ngi Ngan

    Chinese University of Hong Kong, Hong Kong SAR China

    7 publications · 322 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. IEEE Transactions on Image Processing

    20 publications · 1.5K citations

    17

    h-index

  2. 13

    h-index

  3. 11

    h-index

  4. The Journal of the Acoustical Society of America

    JASA · 10 publications · 952 citations

    10

    h-index

  5. Proceedings of the IEEE

    10 publications · 2.4K citations

    10

    h-index

1–5