Compression d’images à l’aide d’un codage Hybride Huffman et Shanon-Fano [ Compression of imagery to help of a coding Hybrid Huffman and Shanon-Fano]

Copyright © 2015 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT: The very great volume of information and data in a digital image can cause practical problems. Transmitting an image from one computer to another and/or archiving are very expensive due to the abundance of data representing the image in the form of bits. We present in this article a compression method, which takes in account the coding hybrid of huffman and shanon Fano, which has been applied to imagery and data. We've determined the method limit by considering different forms of images histogram. The results showed that the method is efficient when the number of bit by pixel is of the same order of magnitude as entropy