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 addresses the problem of reducing the amount of space required to represent a digital image yielding a compact representation of an image, and thereby reducing the image storage/transmission time requirements. The key idea here is to remove redundancy of data presented within an image to reduce its size without affecting the essential information of it. We are concerned with lossless image compression in this paper. Our proposed approach is a mix of a number of already existing techniques. Our approach works as follows: first, we apply the well-known Lempel-Ziv-Welch (LZW) algorithm on the image in hand. What comes out of the first step is forward to the second step where the Bose, Chaudhuri and Hocquenghem (BCH) error correction and detected algorithm is used. To improve the compression ratio, the proposed approach applies the BCH algorithms repeatedly until “inflation” is detected. The experimental results show that the proposed algorithm could achieve an excellent compression ratio without losing data when compared to the standard compression algorithms.
Cite this paper
A. Alarabeyyat, S. Al-Hashemi, T. Khdour, M. Hjouj Btoush, S. Bani-Ahmad, R. Al-Hashemi and S. Bani-Ahmad, "Lossless Image Compression Technique Using Combination Methods," Journal of Software Engineering and Applications, Vol. 5 No. 10, 2012, pp. 752-763. doi: 10.4236/jsea.2012.510088.
 R. C. Gonzalez, R. E. Woods and S. L. Eddins, “Digital Image Processing Using MATLAB,” Pearson Prentice Hall, USA, 2003.
 K. D. Sonal, “Study of Various Image Compression Techniques,” Proceedings of COIT, RIMT Institute of Engineering & Technology, Pacific, 2000, pp. 799-803.
 M. Rabbani and W. P. Jones, “Digital Image Compression Techniques,” SPIE, Washington. doi:10.1117/3.34917
 D. Shapira and A. Daptardar, “Adapting the Knuth-Morris-Pratt Algorithm for Pattern Matching in Huffman Encoded Texts,” Information Processing and Management, Vol. 42, No. 2, 2006, pp. 429-439. doi:10.1016/j.ipm.2005.02.003
 H. Zha, “Progressive Lossless Image Compression Using Image Decomposition and Context Quantization,” Master Thesis, University of Waterloo, Waterloo.
 W. Walczak, “Fractal Compression of Medical Images,” Master Thesis, School of Engineering Blekinge Institute of Technology, Sweden.
 R. Rajeswari and R. Rajesh, “WBMP Compression,” International Journal of Wisdom Based Computing, Vol. 1, No. 2, 2011. doi:10.1109/ICIIP.2011.6108930
 M. Poolakkaparambil, J. Mathew, A. M. Jabir, D. K. Pradhan and S. P. Mohanty, “BCH Code Based Multiple Bit Error Correction in Finite Field Multiplier Circuits,” Proceedings of the 12th International Symposium on Quality Electronic Design (ISQED), Santa Clara, 14-16 March 2011, pp. 1-6. doi:10.1109/ISQED.2011.5770792
 B. Ranjan, “Information Theory, Coding and Cryptography,” 2nd Edition, McGraw-Hill Book Company, India, 2008.
 P. G. Howard and V. J. Scott, “New Method for Lossless Image Compression Using Arithmetic Coding,” Information Processing & Management, Vol. 28, No. 6, 1992, pp. 749-763. doi:10.1016/0306-4573(92)90066-9
 P. Franti, “A Fast and Efficient Compression Method for Binary Image,” 1993.
 M. Burrows and D. J. Wheeler, “A Block-Sorting Lossless Data Compression Algorithm,” Systems Research Center, Vol. 22, No. 5, 1994.
 B. Meyer and P. Tischer, “TMW—a New Method for Lossless Image Compression,” Australia, 1997.
 M. F. Talu and I. Türkoglu, “Hybrid Lossless Compression Method for Binary Images,” University of Firat, Elazig, Turkey, 2003.
 L. Zhou, “A New Highly Efficient Algorithm for Lossless Binary Image Compression,” Master Thesis, University of Northern British Columbia, Canada, 2004.
 N. J. Brittain and M. R. El-Sakka, “Grayscale True Two- Dimensional Dictionary-Based Image Compression,” Journal of Visual Communication and Image Representation, Vol. 18, No. 1, pp. 35-44.
 R.-C. Chen, P.-Y. Pai, Y.-K. Chan and C.-C. Chang, “Lossless Image Compression Based on Multiple-Tables Arithmetic Coding,” Mathematical Problems in Engineering, Vol. 2009, 2009, Article ID: 128317. doi:10.1155/2009/128317
 J. H. Pujar and L. M. Kadlaskar, “A New Lossless Method of Image Compression and Decompression Using Huffman Coding Technique,” Journal of Theoretical and Applied Information Technology, Vol. 15, No. 1, 2010.
 H. Bahadili and A. Rababa’a, “A Bit-Level Text Compression Scheme Based on the HCDC Algorithm,” International Journal of Computers and Applications, Vol. 32, No. 3, 2010.
 R. Al-Hashemi and I. Kamal, “A New Lossless Image Compression Technique Based on Bose,” International Journal of Software Engineering and Its Applications, Vol. 5, No. 3, 2011, pp. 15-22.