Mathematical Problems in Engineering
Volume 2009 (2009), Article ID 128317, 13 pages
doi:10.1155/2009/128317
Research Article
Lossless Image Compression Based on Multiple-Tables Arithmetic Coding
1Department of Information Management, Chaoyang University of Technology, No. 168, Jifong E. Rd., Wufong Township Taichung County 41349, Taiwan
2Department of Computer Science, National Tsing-Hua University, No. 101, Section 2, Kuang-Fu Road, Hsinchu 300, Taiwan
3Department of Management Information Systems, National Chung Hsing University, 250 Kuo-kuang Road, Taichung 402, Taiwan
4Department of Information Engineering and Computer Science, Feng Chia University, No. 100 Wenhwa Rd., Seatwen, Taichung 407, Taiwan
Received 17 December 2008; Revised 27 April 2009; Accepted 15 June 2009
Academic Editor: Panos Liatsis
Copyright © 2009 Rung-Ching Chen et al. 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
This paper is intended to present a lossless image compression method based on multiple-tables arithmetic coding (MTAC) method to encode a gray-level image f. First, the MTAC method employs a median edge detector (MED) to reduce the entropy rate of f. The gray levels of two adjacent pixels in an image are usually similar. A base-switching transformation approach is then used to reduce the spatial redundancy of the image. The gray levels of some pixels in an image are more common than those of others. Finally, the arithmetic encoding method is applied to reduce the coding redundancy of the image. To promote high performance of the arithmetic encoding method, the MTAC method first classifies the data and then encodes each cluster of data using a distinct code table. The experimental results show that, in most cases, the MTAC method provides a higher efficiency in use of storage space than the lossless JPEG2000 does.