• IMAGE COMPRESSION USING EZW AND WDR TECHNIQUES WITH DIFFERENT WAVELET CODES

Abstract

In this paper, two different wavelet bassed Image compression methods are compared. The methods involved in the comparision process are Embedded Zero-tree Wavelet ( EZW) and  Wavelet Different Reduction (WDR). The above two methods are implemented with different types of wavelet codecs. All the numerical results is carried out by Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) for globe. To compare the result here the seven wavelets at level-5 are observed. The above two methods are more appropriate methods for image compression. 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.