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A fast image coding algorithm using variable-rate mean-match correlation vector quantization

机译:使用可变速率均值匹配相关矢量量化的快速图像编码算法

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A variable-rate mean-match correlation vector quantizer, MMCVQ, is presented as an alternative vector quantizer of side-match vector quantizer (SMVQ) for fast image encoding. Before encoding, the mean values of all codewords are computed, then a sorted codebook is obtained according to the ascending order of the mean values of codewords. During the encoding stage, high correlation of the adjacent image blocks and mean values of the current processing vector and codewords are considered to obtain the state-codebook of the current processing vector. The experimental result shows: (1) the encoding time of MMCVQ is almost 7 times faster than that of full-search VQ and almost 42 times faster than that of SMVQ, and (2) compared with SMVQ, the encoding quality will increase more than 1 dB in PSNR, and (3) the bit rate of MMCVQ is smaller than that of SMVQ by 0.03-0.05 b/pixel.
机译:提出了一种可变速率平均匹配相关矢量量化器MMCVQ,作为侧面匹配矢量量化器(SMVQ)的另一种矢量量化器,用于快速图像编码。在编码之前,计算所有码字的平均值,然后根据码字的平均值的升序获得排序后的码本。在编码阶段,考虑相邻图像块的高度相关性以及当前处理向量和码字的平均值,以获得当前处理向量的状态码本。实验结果表明:(1)MMCVQ的编码时间比全搜索VQ快7倍,比SMVQ快42倍;(2)与SMVQ相比,编码质量提高超过PSNR为1 dB,并且(3)MMCVQ的比特率比SMVQ的比特率小0.03-0.05 b /像素。

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