Image compression using HAAR discrete wavelet transform

Hemalatha Kanagaraj, V. Muneeswaran
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引用次数: 23

Abstract

Image Compression aims at minimal the Storage and for the easy transmission Without affecting pictures quality. In this paper HAAR wavelet based Discrete Wavelet Transform (DWT) is done for the effective and efficient image compression..HAAR DWT provides an easy way of compression as the coefficient are either 1 or -1.The wavelet transforms are used for the time and frequency analysis. In this paper higher compression ratio is obtained after three levels of decompositon. The decomposed can be reconstructed without appreciable loss in the original image.
图像压缩采用HAAR离散小波变换
图像压缩的目的是在不影响图像质量的情况下,使存储空间最小化,便于传输。本文提出了基于HAAR小波变换的离散小波变换(DWT),它的系数为1或-1,提供了一种简便的压缩方法。小波变换用于时域和频域分析。本文通过三级分解得到了较高的压缩比。分解后的图像可以被重建,而不会对原始图像造成明显的损失。
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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