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Proceedings Paper

Information preserving image data compression
Author(s): Nassrin Tavakoli
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Paper Abstract

This paper deals with both the theoretical and the practical aspects of information preserving image data compression. The concept of entropy and the common effective compression algorithms are first reviewed. The first-order, second-order and the conditional entropies of images are calculated and compared to the compression level of some existing algorithms. A set of reversible transformation techniques are then introduced and applied to the referenced images. The purpose of these transformations is to lower the entropy in order to improve the compression ratio of the compression algorithms. The effect of the transformations on the compression algorithms are examined. Finally, suggestions for further research in lossless compression are given.

Paper Details

Date Published: 1 June 1991
PDF: 12 pages
Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); doi: 10.1117/12.45397
Show Author Affiliations
Nassrin Tavakoli, Univ. of North Carolina/Charlotte (United States)


Published in SPIE Proceedings Vol. 1452:
Image Processing Algorithms and Techniques II
Mehmet Reha Civanlar; Sanjit K. Mitra; Robert J. Moorhead, Editor(s)

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