基于图像压缩的母小波选择

2007 International Conference on Signal Processing, Communications and Networking Pub Date : 2007-11-05 DOI:10.1109/ICSCN.2007.350747

G. Kharate, Ashok A. Ghatol, P. Rege

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引用次数: 22

摘要

近年来，离散小波变换和小波包已成为图像压缩的常用技术。本文比较了Daubechies、Biorthogonal、Coiflets等小波对不同频率图像的压缩效果。在此基础上，提出了根据图像的性质适当选择母小波的方法，可以显著提高图像的质量和压缩比

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Selection of Mother Wavelet for Image Compression on Basis of Image

Recently discrete wavelet transform and wavelet packet has emerged as popular techniques for image compression. This paper compares compression performance of Daubechies, Biorthogonal, Coiflets and other wavelets along with results for different frequency images. Based on the result, we propose that proper selection of mother wavelet on the basis of nature of images and improve the quality and compression ratio remarkably

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2007 International Conference on Signal Processing, Communications and Networking

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