Image Compression & Decompression using Discrete Wavelet Transform (DWT) Approach

Abstract

Image compression deals with reducing the amount of data required to represent a digital image. Uncompressed multimedia (graphics, audio and video) data requires considerable storage capacity and transmission bandwidth. Despite rapid progress in mass-storage density, processor speeds, and digital communication system performance, demand for data storage capacity and data-transmission bandwidth continues to outstrip the capabilities of available technologies. The recent growth of data intensive multimedia-based web applications has not only sustained the need for more efficient ways to storage and communication technology. The problem inherent to any digital image is the large amount of bandwidth required for transmission or storage. Wavelets are becoming attractive in image processing where high computational performance and parallel architectures are required. In the research work, we are going to implement 4-level wavelet based compression algorithm.