Adaptive compression of still images: automating the choice of algorithm and parameters

Frederic Gilbert; Fabien Moutarde

doi:10.1117/12.324116

7 September 1998 Adaptive compression of still images: automating the choice of algorithm and parameters

Frederic Gilbert, Fabien Moutarde

Proceedings Volume 3409, Electronic Imaging: Processing, Printing, and Publishing in Color; (1998) https://doi.org/10.1117/12.324116
Event: SYBEN-Broadband European Networks and Electronic Image Capture and Publishing, 1998, Zurich, Switzerland

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.

Citation Download Citation

Frederic Gilbert and Fabien Moutarde "Adaptive compression of still images: automating the choice of algorithm and parameters", Proc. SPIE 3409, Electronic Imaging: Processing, Printing, and Publishing in Color, (7 September 1998); https://doi.org/10.1117/12.324116

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