Dithered Quantization

Dithered Quantization is a quantization method that belongs to the class of signal processing techniques in image quantization, distinguished by the intentional addition of controlled noise (dither) prior to quantization to reduce visual artifacts and suppress quantization-induced banding by distributing quantization errors spatially.

62

Publications

4.7K

Citations

132

Authors

69

Institutions

Publications per year

2017–2026

6

Authors

132

  1. RZ
    Ram Zamir

    Tel Aviv University, Israel

    6 publications · 860 citations

    6

    h-index

  2. SP
    Stanley P. Lipshitz

    University of Waterloo, Canada

    6 publications · 561 citations

    6

    h-index

  3. JV
    John Vanderkooy

    University of Waterloo, Canada

    5 publications · 549 citations

    5

    h-index

  4. MF
    Meir Feder

    Tel Aviv University, Israel

    3 publications · 349 citations

    3

    h-index

  5. RA
    Robert A. Wannamaker

    University of Waterloo, Canada

    3 publications · 517 citations

    3

    h-index

1–5 of 132

Venues

  1. IEEE Transactions on Signal Processing

    7 publications · 680 citations

    7

    h-index

  2. IEEE Transactions on Information Theory

    6 publications · 1.2K citations

    6

    h-index

  3. IEEE Transactions on Image Processing

    4 publications · 207 citations

    4

    h-index

  4. Journal of the Audio Engineering Society

    AES · 3 publications · 290 citations

    3

    h-index

  5. 2

    h-index

1–5