IMAGE COMPRESSION METHODS: A COMPREHENSIVE REVIEW ON LOSSLESS AND LOSSY ALGORITHMS

Abstract

As a result of technological advances, the bandwidth of communication networks has continuously increased. The launch of new networks and the extension of existing ones, however, have resulted in even higher bandwidth demand. This explains the many efforts in the field of data compression currently being invested. The main objective of these works is to improve information source coding techniques such as voice, image and video to decrease the number of bits needed to represent a source without significantly degrading its content. With the significant increase in digital image data production, there has been a correspondingly large increase in research activity in the field of compression of images. The aim is to represent a picture in the least number of bits without sacrificing the content of the important information inside. Three key types of information are stored in images: redundant, meaningless, and useful. Redundant information is the deterministic portion of the information stored in the image that can be replicated without the loss of other information.