22 March 1996 Color quantization based on splitting and statistics
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yujian Chen, Xuejun Li, Jiaguang Sun, 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); doi: 10.1117/12.235489; https://doi.org/10.1117/12.235489
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