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Huffman Coding and Position based Coding Schemefor Image Compression: An Experimental Analysis

Jayavrinda Vrindavanam, Saravanan Chandran, Gautam K Mahanti, Vijayalakshmi K Published in Image Processing

IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/icwac1315
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  1. Jayavrinda Vrindavanam, Saravanan Chandran, Gautam K Mahanti and Vijayalakshmi K. Article: Huffman Coding and Position based Coding Schemefor Image Compression: An Experimental Analysis. IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013 ICWAC(2):1-5, June 2013. BibTeX

    @article{key:article,
    	author = "Jayavrinda Vrindavanam and Saravanan Chandran and Gautam K Mahanti and Vijayalakshmi K",
    	title = "Article: Huffman Coding and Position based Coding Schemefor Image Compression: An Experimental Analysis",
    	journal = "IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013",
    	year = 2013,
    	volume = "ICWAC",
    	number = 2,
    	pages = "1-5",
    	month = "June",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

The paper attempts a comparison between Huffmancoding and Position Based Coding Scheme introduced by the authors. After a review of various image compression standards and image compression coders, it is observed that there is a need to study the post-transformation matrix in a JPEGenvironment and accordingly, brought out a coding scheme based on the position of elements of the transform coefficients matrix after performing quantization. By identifying the unique elements and by reducing redundancies, the paper presented a novel method of coding called, PBCS. Thereafter, the results of Joint Picture Expert Group (JPEG) with Huffman coding and PBCS are compared. The results showbetter compression ratio with higher PSNR and better image quality with quantization. The study can be considered as a logical extension of the discrete cosine transformation matrix of an image,andapplies statistical tools to achieve the novel coding scheme. The coding scheme can highly economisethe bandwidth without compromising on picture quality; invariant to the existing compression standards and lossy as well as lossless compressions which offers possibility for wide ranging applications.

Reference

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Keywords

JPEG,image compression,wavelet,DCT,PBCS