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Lossless Grey-scale Image Compression Using Source Symbols Reduction and Huffman Coding
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International Journal of Image Processing (IJIP)
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Volume:  3    Issue:  5
Pages:  184-251
Publication Date:   November 2009
ISSN (Online): 1985-2304
246 - 251
Saravanan C - India
Ponalagusamy R - India
Published Date   
CSC Journals, Kuala Lumpur, Malaysia
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
KEYWORDS:   lossless image compression, source symbols reduction, Huffman coding 
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Usage of Images have been increased and used in many applications. Image compression plays vital role in saving storage space and saving time while sending images over network. A new compression technique has been proposed to achieve more compression ratio by reducing number of source symbols. The source symbols are reduced by applying source symbols reduction and further the Huffman Coding is applied to achieve compression. The source symbols reduction technique reduces the number of source symbols by combining together to form a new symbol. Thus the number of Huffman Code to be generated also reduced. The Huffman code symbols reduction achieves better compression ratio. The experiment has been conducted using the proposed technique and the Huffman Coding on standard images. The experiment result has been analyzed and the result shows that the newly proposed compression technique achieves 10% more compression ratio than the regular Huffman Coding. 
1 Gonzalez, R.C. and Woods, R.E., Digital Image Processing 2nd ed., Pearson Education, India, 2005.
2 Salomon, Data Compression, 2nd Edition. Springer, 2001.
3 Othman O. Khalifa, Sering Habib Harding and Aisha-Hassan A. Hashim, Compression using Wavelet Transform, Signal Processing: An International Journal, Volume (2), Issue (5),2008, pp. 17-26.
4 Singara Singh , R. K. Sharma, M.K. Sharma, Use of Wavelet Transform Extension for Graphics Image Compression using JPEG2000 Framework, International Journal of Image Processing, Volume 3, Issue 1, Pages 55-60, 2009.
5 Abramson, N., Information Theory and Coding, McGraw-Hill, New York, 1963.
6 Huffman, D.A., A method for the construction of minimum-redundancy codes. Proc. Inst. Radio Eng. 40(9), pp.1098-1101, 1952.
7 Steven Pigeon, Yoshua Bengio — A Memory-Efficient Huffman Adaptive Coding Algorithm for Very Large Sets of Symbols — Université de Montréal, Rapport technique #1081.
8 Steven Pigeon, Yoshua Bengio — A Memory-Efficient Huffman Adaptive Coding Algorithm for Very Large Sets of Symbols Revisited — Université de Montréal, Rapport technique #1095.
9 R.G. Gallager — Variation on a theme by Huffman — IEEE. Trans. on Information Theory, IT-24(6), 1978, pp. 668-674.
10 D.E. Knuth — Dynamic Huffman Coding — Journal of Algorithms, 6, 1983 pp. 163-180.
11 J.S. Vitter — Design and analysis of Dynamic Huffman Codes — Journal of the ACM, 34#4, 1987, pp. 823-843.
12 Chiu-Yi Chen; Yu-Ting Pai; Shanq-Jang Ruan, Low Power Huffman Coding for High Performance Data Transmission, International Conference on Hybrid Information Technology, 2006, 1(9-11), 2006 pp.71 – 77.
13 Lakhani, G, Modified JPEG Huffman coding, IEEE Transactions Image Processing, 12(2), 2003 pp. 159 – 169.
14 R. Ponalagusamy and C. Saravanan, Analysis of Medical Image Compression using Statistical Coding Methods, Advances in Computer Science and Engineering: Reports and Monographs, Imperial College Press, UK, Vol.2., pp 372-376, 2007.
Saravanan C : Colleagues
Ponalagusamy R : Colleagues  
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