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Comparison between several adaptive search vector quantization schemes and JPEG standard for image compression

机译:几种自适应搜索矢量量化方案与JPEG图像压缩标准的比较

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摘要

This paper introduces an adaptive search vector quantization (VQ) algorithm, hierarchical adaptive search VQ (HASVQ) and compares its performance against several previously proposed adaptive search image compression algorithms. These algorithms are: the JPEG standard, adaptive tree search vector quantization (ATSVQ), multi-stage adaptive search vector quantization (MASVQ). The bit-rate examined is from 0.625 to 1.25 bits per pixel (bpp). The results indicate that HASVQ outperforms all the other algorithms over the entire range of bit-rates examined. For higher bit-rates MASVQ performs next to the HASVQ algorithm and is, in-turn, followed by the JPEG standard. ATSVQ performs well at lower bit-rates, however its performance at higher bit-rates is suppressed by not having an adequate codebook size.
机译:本文介绍了一种自适应搜索矢量量化(VQ)算法,分层自适应搜索VQ(HASVQ),并将其性能与之前提出的几种自适应搜索图像压缩算法进行了比较。这些算法是:JPEG标准,自适应树搜索矢量量化(ATSVQ),多级自适应搜索矢量量化(MASVQ)。检查的位速率是每个像素0.625至1.25位(bpp)。结果表明,在检查的整个比特率范围内,HASVQ的性能均优于其他所有算法。对于更高的比特率,MASVQ紧随HASVQ算法执行,然后依次执行JPEG标准。 ATSVQ在较低的比特率下表现良好,但是由于没有足够的码本大小,因此其在较高的比特率下的性能受到抑制。

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