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
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2017–2026
9
Parents
35
Palette: Distributing tables in software-defined networks
Yossi Kanizo, David Hay, Isaac Keslassy · 2013 · 228 citations · Full text
Palette-Based Image Recoloring Using Color Decomposition Optimization
Qing Zhang, Chunxia Xiao, Hanqiu Sun et al. · IEEE Transactions on Image Processing · 2017 · 107 citations
Patrick Baudisch, Carl Gutwin · 2004 · 77 citations
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University of Sannio
Benevento, Italy
3 h-index
4 publications
190 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
4 publications
176 citations
William & Mary
Williamsburg, United States
2 h-index
5 publications
319 citations
George Mason University
Fairfax, United States
2 h-index
6 publications
354 citations

University of Molise
Campobasso, Italy
2 h-index
2 publications
118 citations

Vilnius University
Vilnius, Lithuania
2 h-index
8 publications
408 citations
Rensselaer Polytechnic Institute
Troy, United States
2 h-index
2 publications
102 citations
University of Pavol Jozef Šafárik
Košice, Slovakia
1 h-index
1 publications
18 citations
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2 publications · 129 citations
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2 publications · 163 citations
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2 publications · 102 citations
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2 publications · 73 citations
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TOG · 2 publications · 118 citations
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