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Grey wolf optimization for color quantization

delete2026-02-04
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OA
AI
M
María‐Luisa Pérez‐Delgado *
J
Jesús‐Ángel Román‐Gallego
M
M. Emre Celebi
DOI:10.1016/j.cviu.2026.104659delete
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Abstract

Abstract

En 中文
• The Grey wolf optimization method is improved to apply it to color quantization. • The method is tested on 24 images commonly used in color quantization literature. • Extensive experiments and statistical analysis show that the proposal is effective. • It obtains better results than most of the 16 methods with which it is compared.
Keywords:
Color quantization
Swarm-based methods
Image processing
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Journal

Computer Vision and Image Understanding cover
Computer Vision and Image Understanding
IF:
3.5
Papers:
428
Citations:
7.3K

Organization

E
escuela politécnica superior de zamora
Scholars:
2
Papers: 1
Citations: 0
U
university of central arkansas
Scholars:
22
Papers: 17
Citations: 0