Lossless Image Compression Technique Using Lzw Methods

Abstract

The development of multimedia and digital imaging has led to high quantity of data required to represent modern imagery. This requires large disk space for storage, and long time for transmission over computer networks, and these two are relatively expensive. These factors prove the need for images compression. Image compression conveys the difficulty of reducing the amount of space needed for representing a digital image to provide a compact representation of an image. Then it reduces the image storage or transmission time requirements. The main idea is to remove redundancy of data presented with in an image to reduce its size without affecting the essential information of it. We proposed lossless image compression in this paper. Our proposed approach is a mix of a number of already existing techniques. Our approach is follows: first, we apply the well known Lempel-ziv-welch (LZW) algorithm on the image in hand. The result from the first step is forward to the second step where the Bose, chaudhuri and hocquenghem (BCH) error correction and detected algorithm is used.