Image vector quantization using geometric transform and lossless index coding

被引:2
|
作者
Hu, Yu-Chen [1 ]
Wen, Chia-Hsien [1 ]
Lo, Chun-Chi [1 ]
Chen, Wu-Lin [1 ]
机构
[1] Providence Univ, Dept Comp Sci & Informat Management, Taichung 43301, Taiwan
关键词
image compression; vector quantization; geometric transform; lossless index coding; CODEBOOK SEARCH ALGORITHM; BLOCK PREDICTION; COMPRESSION; SCHEME;
D O I
10.1117/1.OE.52.3.037402
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We propose an efficient image-coding scheme based on vector quantization (VQ). Typically, image qualities of the compressed images by using VQ are restricted by the codebook used. To provide better image qualities of the compressed images while keeping low bit rates, encoding the geometric transformed image block is associated with VQ. To cut down the bit rates, the index table is further processed by the lossless index coding process. According to the results, it is shown that the proposed scheme achieves better image qualities than VQ while keeping low bit rates. (C) 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) [DOI: 10.1117/1.OE.52.3.037402]
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页数:8
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