Rate-distortion Theory

Rate-Distortion Theory is a branch of information theory that characterizes the fundamental tradeoff between the bit rate used to represent a source and the distortion incurred in its reconstruction, by determining the minimum achievable rate for a given distortion measure and constraint, thereby providing the theoretical basis for optimal lossy compression.

4.7K

Publications

305.7K

Citations

7.1K

Authors

1.7K

Institutions

Publications per year

2017–2026

769

Authors

7.1K

  1. BG
    Bernd Girod

    Stanford University, United States

    74 publications · 5.8K citations

    35

    h-index

  2. SK
    Sam Kwong

    City University of Hong Kong, Hong Kong SAR China

    48 publications · 2.4K citations

    30

    h-index

  3. RM
    Robert M. Gray

    Stanford University, United States

    42 publications · 12.9K citations

    28

    h-index

  4. SM
    Siwei Ma

    Peking University, China

    49 publications · 2.6K citations

    27

    h-index

  5. KR
    Kannan Ramchandran

    University of California, Berkeley, United States

    43 publications · 3.7K citations

    25

    h-index

1–5 of 7.1K

Venues

  1. IEEE Transactions on Information Theory

    581 publications · 50.2K citations

    105

    h-index

  2. 77

    h-index

  3. IEEE Transactions on Image Processing

    210 publications · 25.6K citations

    60

    h-index

  4. IEEE Transactions on Multimedia

    118 publications · 5.9K citations

    42

    h-index

  5. IEEE Transactions on Communications

    92 publications · 15.8K citations

    37

    h-index

1–5