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	A coding algorithm using PCA-based correlation vector quantization
	Sun Hongwei ; Gu Ming ; Sun Jiaguang
	2010-05-07 ; 2010-05-07
关键词	Practical Theoretical or Mathematical/ correlation methods image coding principal component analysis vector quantisation/ coding algorithm correlation vector quantization encoding principal component analysis sorted codebook image block full search vector quantization image coding/ B6135C Image and video coding B0240Z Other topics in statistics C5260B Computer vision and image processing techniques C1140Z Other topics in statistics
中文摘要	By the improved coding algorithm proposed in the paper, before encoding, we project all the code words on the principal axis which is determined by principal component analysis (PCA) , and a sorted codebook is obtained according to the ascending order of the projection values. During the encoding stage, we use the high correlation of the adjacent image blocks and the projection value of the input vector on the principal axis to determine the searching range. The experimental results show that PCA and correlation vector quantization can accelerate the encoding speed and increase the compression rate compared with the full search vector quantization, although the encoding quality degrades a little.
语种	中文 ; 中文
出版者	Science Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/16802]
专题	清华大学
推荐引用方式 GB/T 7714	Sun Hongwei,Gu Ming,Sun Jiaguang. A coding algorithm using PCA-based correlation vector quantization[J],2010, 2010.
APA	Sun Hongwei,Gu Ming,&Sun Jiaguang.(2010).A coding algorithm using PCA-based correlation vector quantization..
MLA	Sun Hongwei,et al."A coding algorithm using PCA-based correlation vector quantization".(2010).

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