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EZW Algorithm Using Visual Weighting in the Decomposition and DPCM

机译:在分解和DPCM中使用视觉加权的EZW算法

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摘要

Some modifications of the EZW algorithm are described in the paper. First, the EZW algorithms using bi-orthogonal wavelet decomposition and quincunx wavelet decomposition are compared. After studying the statistics of wavelet coefficient. a DPCM quantization is used for coding the low pass comonent. In the EZW algorithm using biorthogonal wavelet transform the coefficients are also weighted using a visual weighting function. The visual percetpion of the result seems a little better but he PSNR is little worse. As a conclusion, this modification adds some complexity to the algorithm without a very significant result. However, modifications in the standard Shapiro EZW algorithm shed light on excellent performance of the recent Said and Pearlman EZW coder.
机译:本文介绍了EZW算法的一些修改。首先,比较了使用双正交小波分解和梅花形小波分解的EZW算法。经过研究小波系数的统计。 DPCM量化用于编码低通分量。在使用双正交小波变换的EZW算法中,还使用视觉加权函数对系数进行加权。结果的视觉感知似乎好一些,但PSNR差一些。结论是,此修改为算法增加了一些复杂性,而没有非常显着的结果。但是,对标准Shapiro EZW算法的修改为最新的Said和Pearlman EZW编码器的出色性能提供了启示。

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