Octree Quantization

Octree Quantization is a color quantization method that uses an octree data structure to hierarchically partition the RGB color space, enabling efficient clustering and representative color selection through recursive subdivision of color cubes based on pixel distribution.

8

Publications

147

Citations

13

Authors

6

Institutions

Publications per year

2017–2026

0

Authors

13

  1. CJ
    C.‐C. Jay Kuo

    University of Southern California, United States

    2 publications · 21 citations

    2

    h-index

  2. XW
    Xia Wan

    University of Southern California, United States

    2 publications · 21 citations

    2

    h-index

  3. SB
    Sung Bum Pan

    Chosun University, South Korea

    1 publications · 22 citations

    1

    h-index

  4. HS
    Han‐Wei Shen

    The Ohio State University, United States

    1 publications · 40 citations

    1

    h-index

  5. AH
    and Han-Wei Shen

    1 publications · 32 citations

    1

    h-index

1–5 of 13

Venues

  1. 1

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  2. NASA Technical Reports Server (NASA)

    Repository · 1 publications · 32 citations

    1

    h-index

  3. BMC Infectious Diseases

    1 publications · 40 citations

    1

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  4. Computational Intelligence and Neuroscience

    1 publications · 10 citations

  5. Neural Computing and Applications

    1 publications · 10 citations

1–5