一种不需要计算量化失真的快速码书训练算法

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Abstract A fast codebook training algorithm without the computation of distortion by the property of centroid sequence convergence is presented in this paper. The performance of the new algorithm is tested by typical test image Lena. The result shows that the PSNR difference between the new algorithm and LBG is O.ldB, but the running time of it is at most one half of LBG.

Key words： Vector quantization LBG algorithm Centroid sequence Convergence

Received: 30 October 2000

PACS:

TN911.73

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	Pang Chaoyang
	Sun Shixin

Cite this article:

Pang Chaoyang,Sun Shixin. A fast codebook training algorithm without the computation of distortion[J]. , 2002, 24(10): 1316-1320 .

URL:

http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y2002/V24/I10/1316

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