Image Compression by Embedded Zerotrees Wavelet Coding

Abstract

Image compression is very important in many applications, especially for progressive transmission, image browsing, multimedia applications. Image contains large amounts of information that requires much storage space, large transmission bandwidths and long transmission times. Therefore, it is large advantages to compress the image by storing only the essential information needed to reconstruct the image. Image Compression reduces the number of bits needed to represent an image while maintaining a desirable quality. Wavelet image transform is a form of lossy image compression method. It has the ability to divide the original image into unoverlapped blocks depending on the threshold values. This system present image compression and decompression using embedded zerotrees wavelet (EZW) algorithm. And then tests discrete wavelet transforms and compare of their compression ratio (CR) and peak signal to noise ratio (PSNR) with different wavelet families.