Image and Audio compression by Wavelet Transform using MATLAB Wavelet tool box

Abstract

Audio and image compression has become one of the basic technologies of the multimedia. In many applications, such as the design of multimedia workstations and high quality audio transmission and storage, the goal is to achieve transparent coding of audio and speech signals at the lowest possible data rates. Bandwidth cost money, therefore the transmission and storage of information becomes costly. However, if we can use less data, both transmission and storage become cheaper. In this work, with the help of wavelet transform we can greatly reduce the storage need and transmission bandwidth when compared to WinZip. Wavelet analysis breaks a signal into shifted and scaled versions of the original wavelet, thus the advantage of wavelets is the ability to perform local analysis that is, to analyse a localized area of a larger signal