期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2014
卷号：5
期号：6
页码：33
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Compressing an image is significantly different than compressing raw binary data. compressing images isused by this different compression algorithm. Wavelet transforms used in Image compression methods toprovide high compression rates while maintaining good image quality. Discrete Wavelet Transform (DWT)is one of the most common methods used in signal and image compression .It is very powerful compared toother transform because its ability to represent any type of signals both in time and frequency domainsimultaneously. In this paper, we will moot the use of Wavelet Based Image compression algorithm-Embedded Zerotree Wavelet (EZW). We will obtain a bit stream with increasing accuracy from ezwalgorithm because of basing on progressive encoding to compress an image into . All the numerical resultswere done by using matlab coding and the numerical analysis of this algorithm is carried out by sizingPeak Signal to Noise Ratio (PSNR) and Compression Ratio (CR) for standard Lena Image .Experimentalresults beam that the method is fast, robust and efficient enough to implement it in still and complex imageswith significant image compression.
