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Proceedings Paper

Adaptive compression of still images: automating the choice of algorithm and parameters
Author(s): Frederic Gilbert; Fabien Moutarde
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Paper Abstract

This paper presents a new adaptive compression scheme for continuous-tone still images with two main benefits: 1) it allows to take advantage of a set of algorithms (such as JPEG, wavelets, fractals, ...) by switching between them according to the image content and target compression ratio; 2) it tunes automatically the algorithm-specific parameters (e.g. JPEG quantization factor) in order to meet the user compression objective (e.g. a target compression ratio). A performance evaluation test indicates the following: 1) our adaptive coder can succeed with probability approximately equals 72% in selecting automatically the best technique (among JPEG, a wavelet algorithm, and a fractal one); 2) the difference between the obtained compression ratio and the target is lower than 10%; 3) the computing overhead due to algorithm selection and parameter choice is negligible. This adaptive compression technique has been proposed to the ISO standardization committee currently working on the definition of the future 'JPEG-2000' standard.

Paper Details

Date Published: 7 September 1998
PDF: 7 pages
Proc. SPIE 3409, Electronic Imaging: Processing, Printing, and Publishing in Color, (7 September 1998); doi: 10.1117/12.324116
Show Author Affiliations
Frederic Gilbert, Alcatel Alsthom Recherche (France)
Fabien Moutarde, Ecole des Mines de Paris (France)


Published in SPIE Proceedings Vol. 3409:
Electronic Imaging: Processing, Printing, and Publishing in Color
Jan Bares, Editor(s)

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