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Comparative analysis of wavelet transform and wavelet packet transform for image compression at decomposition level 5

机译:小波变换与小波包变换在分解级别5图像压缩的对比分析

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Image Compression plays a critical role in several important and diverse applications and has motivated the need for better image compression algorithms. Wavelets provide a powerful method for image compression; wavelet transform and wavelet packet transform have proved to be efficient and useful tools for image processing in the recent years. This paper aims at comparing different parameters of some well known wavelets at various threshold values concerning the quality of the reconstructed image. This paper attempts to compare compression performance using wavelet transform and wavelet packet transform for level 5 decomposition and highlights most desirable characteristics of wavelets.
机译:图像压缩在一些重要且多样化的应用中扮演着至关重要的角色,并激发了对更好的图像压缩算法的需求。小波提供了一种强大的图像压缩方法。近年来,小波变换和小波包变换已被证明是用于图像处理的有效工具。本文旨在比较一些众所周知的小波在不同阈值下关于重构图像质量的不同参数。本文尝试比较使用小波变换和小波包变换进行5级分解的压缩性能,并重点介绍了最理想的小波特性。

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