A hybrid data compression scheme using quaternary decomposition and selective multistage vector quantization

IEEE Global Telecommunications Conference, 1989, and Exhibition. 'Communications Technology for the 1990s and Beyond Pub Date : 1989-11-27 DOI:10.1109/GLOCOM.1989.64268

L. Thede, S. Kwatra

引用次数: 3

Abstract

The hybrid coding method investigated uses classified vector quantization (VQ) based upon the quaternary decomposition of image blocks into 32*32, 16*16, 8*8, or 4*4 subblocks before using the DCT (discrete cosine transform) to encode the blocks. The coefficients of the DCTs are then zonal-sampled and vector quantized. The codebooks for the VQ are optimized by both the traditional Linde-Buzo-Gray (1980) method and by a simulated annealing (SA) algorithm. In addition a method of selective multistage VQ (SMVQ) is investigated in which only those vectors not matched well enough by a codebook vector are allowed a second stage of VQ. These methods produce excellent results at bit rates of 0.8586 b/pixel. for non-SMVQ methods and 0.994 b/pixel for SMQV methods for 512*512 color images.<>

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采用四元分解和选择性多阶段矢量量化的混合数据压缩方案

所研究的混合编码方法采用基于四元分解的分类矢量量化(VQ)方法，将图像块分解为32*32、16*16、8*8或4*4子块，然后使用离散余弦变换(DCT)对块进行编码。然后对dct的系数进行分区采样和矢量量化。采用传统的Linde-Buzo-Gray(1980)方法和模拟退火(SA)算法对VQ的码本进行优化。此外，还研究了一种选择性多级VQ (SMVQ)方法，该方法只允许那些与码本向量不匹配的向量进行第二级VQ。这些方法在0.8586 b/像素的比特率下产生了极好的结果。对于512*512彩色图像，非SMQV方法为0.994 b/pixel。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Global Telecommunications Conference, 1989, and Exhibition. 'Communications Technology for the 1990s and Beyond

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