Palette Optimization

Palette Optimization is a method in digital image processing that systematically reduces and refines the color palette of a pixel art image to minimize visual artifacts and data redundancy while preserving aesthetic fidelity and stylistic constraints inherent to limited-color rendering.

35

Publications

1.6K

Citations

102

Authors

59

Institutions

Publications per year

2017–2026

9

Parents

Authors

102

  1. YG
    Yotam Gingold

    George Mason University, United States

    3 publications · 150 citations

    3

    h-index

  2. AŽ
    A. Žukauskas

    Vilnius University, Lithuania

    2 publications · 102 citations

    2

    h-index

  3. MS
    M. S. Shur

    Rensselaer Polytechnic Institute, United States

    2 publications · 102 citations

    2

    h-index

  4. JL
    Jyh‐Ming Lien

    George Mason University, United States

    2 publications · 118 citations

    2

    h-index

  5. FI
    Feliksas Ivanauskas

    Vilnius University, Lithuania

    2 publications · 102 citations

    2

    h-index

1–5 of 102

Venues

  1. 2

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  2. IEEE Transactions on Image Processing

    2 publications · 163 citations

    2

    h-index

  3. Applied Physics Letters

    2 publications · 102 citations

    2

    h-index

  4. Scientific Reports

    2 publications · 73 citations

    2

    h-index

  5. ACM Transactions on Graphics

    TOG · 2 publications · 118 citations

    2

    h-index

1–5