关于小波滤波器在静态图像压缩中的选择

O. Rioul
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引用次数: 49

摘要

作者解决了如何规则,频率选择性,和相位作用于性能的静态图像压缩方案使用小波分解。初步结果给出了一个简单的压缩方案,使用标准正交可分离小波变换,标量量化,率/失真优化,各种编码标准,以及大量具有平衡规则,频率选择性和相位的“小波”滤波器。结果表明,至少对于短滤波器(L>),正则性可能与静止图像压缩有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the choice of 'wavelet' filter for still image compression
The author addresses how regularity, frequency selectivity, and phase act upon the performance of a still image compression scheme using wavelet decomposition. Preliminary results are given for a simple compression scheme using orthonormal separable wavelet transforms, scalar quantization, rate/distortion optimization, various coding criteria, and a large number of 'wavelet' filters with balanced regularity, frequency selectivity, and phase. It is shown that regularity may be relevant for still image compression, at least for short filters (L>
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