IMAGE COMPRESSION USING EMBEDDED ZERO TREE WAVELET

Abstract

Compressing an image is significantly different than compressing raw binary data. compressing images is used by this different compression algorithm. Wavelet transforms used in Image compression methods to provide 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 to other transform because its ability to represent any type of signals both in time and frequency domain simultaneously. In this paper, we will moot the use of Wavelet Based Image compression algorithmEmbedded Zerotree Wavelet (EZW). We will obtain a bit stream with increasing accuracy from ezw algorithm because of basing on progressive encoding to compress an image into . All the numerical results were done by using matlab coding and the numerical analysis of this algorithm is carried out by sizing Peak Signal to Noise Ratio (PSNR) and Compression Ratio (CR) for standard Lena Image .Experimental results beam that the method is fast, robust and efficient enough to implement it in still and complex images with significant image compression.