Decomposition strategies for wavelet-based image coding

Claudia Schremmer
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引用次数: 7

Abstract

The wavelet transform has become the most interesting new algorithm for still image compression. Yet there are many parameters within a wavelet analysis and synthesis which govern the quality of a decoded image. In this paper, we discuss different decomposition strategies of a two-dimensional signal and their implications for the decoded image: a pool of gray-scale images has been wave let-transformed with different settings of the wavelet filter bank, quantization threshold and decomposition method. Contrary to the new standard JPEG-2000, where nonstandard decomposition is implemented, our investigation proposes standard decomposition for low-bitrate coding.
基于小波的图像编码分解策略
小波变换已成为静态图像压缩中最有趣的新算法。然而,在小波分析和合成中有许多参数控制着解码图像的质量。在本文中,我们讨论了二维信号的不同分解策略及其对解码图像的影响:用小波滤波器组、量化阈值和分解方法的不同设置对一组灰度图像进行小波变换。与实现非标准分解的新标准JPEG-2000相反,我们的研究提出了低比特率编码的标准分解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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