Block-based Quantization

Block-Based Quantization is a quantization method that partitions an image into discrete blocks and applies independent quantization processes to each block to reduce data redundancy while preserving local visual fidelity.

98

Publications

5.6K

Citations

264

Authors

130

Institutions

Publications per year

2017–2026

19

Variants

Block-based Image Quantization

Authors

264

  1. MK
    Marta Karczewicz

    Qualcomm (United States), United States

    3 publications · 662 citations

    3

    h-index

  2. LK
    Louis Kerofsky

    Sharp Laboratories of Europe (United Kingdom), United Kingdom

    2 publications · 651 citations

    2

    h-index

  3. DE
    D. Esteban

    IBM (United States), United States

    2 publications · 35 citations

    2

    h-index

  4. CC
    Chin‐Chen Chang

    Feng Chia University, Taiwan

    2 publications · 44 citations

    2

    h-index

  5. SS
    Stephen So

    Griffith University, Australia

    2 publications · 29 citations

    2

    h-index

1–5 of 264

Venues

  1. 4

    h-index

  2. Pattern Recognition Letters

    4 publications · 223 citations

    4

    h-index

  3. 3

    h-index

  4. Multimedia Tools and Applications

    2 publications · 31 citations

    2

    h-index

  5. Journal of Real-Time Image Processing

    2 publications · 30 citations

    2

    h-index

1–5