IJERT-EMS
IJERT-EMS

A Novel Approach of Lossless Image Compression using Hashing and Huffman Coding


A Novel Approach of Lossless Image Compression using Hashing and Huffman Coding
Authors : Dr. T. Bhaskara Reddy, Miss. Hema Suresh Yaragunti, Dr. S. Kiran, Mrs. T. Anuradha
Publication Date: 07-03-2013

Authors

Author(s):  Dr. T. Bhaskara Reddy, Miss. Hema Suresh Yaragunti, Dr. S. Kiran, Mrs. T. Anuradha

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.2 - Issue 3 (March - 2013)

e-ISSN:   2278-0181

Abstract

°»A complex idea can be conveyed in just single still image°…. Storage and transmission of digital image has become more of a necessity than luxury these days, hence the importance of Image compression. Image data files commonly contain considerable amount of information that is redundant and irrelevant leading to more disk space for storage. Image compression [7][9] is minimizing the size in bytes of an image file without degrading the quality of the image to an unacceptable level. During a step called quantization, where part of compression occurs, the less frequencies [1] are discarded. This paper represent the lossless image compression on still image, which is based on Hashing and Huffman Coding technique to show the better compression.

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