Color quantization based on splitting and statistics

Yujian Chen; Xuejun Li; Jiaguang Sun; Changgui Yang

doi:10.1117/12.235489

22 March 1996 Color quantization based on splitting and statistics

Yujian Chen, Xuejun Li, Jiaguang Sun, Changgui Yang

Proceedings Volume 2644, Fourth International Conference on Computer-Aided Design and Computer Graphics; (1996) https://doi.org/10.1117/12.235489
Event: Fourth International Conference on Computer-Aided Design and Computer Graphics, 1995, Wuhan, China

Abstract

Color quantization is a process of choosing a set of K representative colors to approximate the N colors of an image, K<<N, such that the resulting K-color image looks as much like the original N-color image as possible. This paper presents a new color quantization algorithm by efficient statistical computations and nearest-neighbor searching. Different from recursively bipartition, this algorithm directly splits the color space into many voxels, and chooses a color palette which permits the most pixels with the colors corresponding to the voxels that they fall. The algorithm has a good effectiveness.

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Yujian Chen, Xuejun Li, Jiaguang Sun, and Changgui Yang "Color quantization based on splitting and statistics", Proc. SPIE 2644, Fourth International Conference on Computer-Aided Design and Computer Graphics, (22 March 1996); https://doi.org/10.1117/12.235489

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KEYWORDS

Quantization

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Image processing

Image processing algorithms and systems

Optimization (mathematics)

Computer science

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