Information preserving image data compression

Nassrin Tavakoli

doi:10.1117/12.45397

1 June 1991 Information-preserving image data compression

Nassrin Tavakoli

Proceedings Volume 1452, Image Processing Algorithms and Techniques II; (1991) https://doi.org/10.1117/12.45397
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

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.

Citation Download Citation

Nassrin Tavakoli "Information-preserving image data compression", Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); https://doi.org/10.1117/12.45397

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