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Lossless Grey-scale Image Compression Using Source Symbols Reduction and Huffman Coding
Saravanan C, Ponalagusamy R
Pages - 246 - 251     |    Revised - 30-10-2009     |    Published - 30-11-2009
Volume - 3   Issue - 5    |    Publication Date - November 2009  Table of Contents
lossless image compression, source symbols reduction, Huffman coding
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.
CITED BY (15)  
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8 Chandran, S. (2012). A Novel Technique to Detect Faces in a Group Photo. International Journal of Computer Applications, 54(1).
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11 Hasan, M., & Md Nur, K. (2012). A novel spatial domain lossless image compression scheme. International Journal of Computer Applications, 39(15), 25-28.
12 Hasan, M., & Nur, K. M. (2012). A Lossless Image Compression Technique using Location Based Approach. International Journal of Scientific & Technology Research, 1(2).
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Dr. Saravanan C
National Institute of Technology - India
Professor Ponalagusamy R
National Institute of Technology - India

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