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

机译:一种使用可变速率平均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 in this paper. 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 fast than that of full-search VQ and almost 42 times fast than that of SMVQ, and (2) compared with SMVQ, the encoding quality will increase more than 1dB in PSNR, and (3) the bit rate of MMCVQ is smaller than that of SMVQ by O.03-0.05 b/pixel.
机译:可变速率平均匹配相关矢量量化器; MMCVQ,呈现为侧匹配矢量量化器(SMVQ)的替代矢量量化器,用于本文中的快速图像编码。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的码本。在编码阶段期间,认为相邻图像块和电流处理向量和码字的平均值的高相关以获得当前处理向量的状态 - 码本。实验结果表明:(1)MMCVQ的编码时间几乎比全搜索VQ的编码速度快7倍,并且与SMVQ的速度速度差约42倍,(2)与SMVQ相比,编码质量将增加更多在PSNR中的1DB,(3)MMCVQ的比特率小于SMVQ的比特率O.03-0.05 B /像素。

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