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Proceedings Paper

Wavelet packets and multiresolution criterion for color image compression
Author(s): Frederic Truchetet; Francis Perot; Olivier Laligant
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Paper Abstract

We present in this paper a wavelet packet transform algorithm for color still image and we show how and with what performances the transformed image tree can be pruned and the imagets altered in order to obtain a compression/decompression algorithm respectful of human psychovisual image perception. In the first part we present the basic assumptions for human vision on which we have constructed our algorithm; the second part deals with the color transformation we used before applying wavelet packet transform and in the third part we show that a quasi lossless compression/decompression scheme can be easily obtained with compression ratio up to 1:10 (quantization step was not considered here). Finally, we propose a new quality criterion based upon the results of our tests on human sensitivity to various scale and color image details. This figure of merit can be considered as a multiresolution release of the most commonly used PSNR criterion.

Paper Details

Date Published: 1 April 1998
PDF: 10 pages
Proc. SPIE 3308, Very High Resolution and Quality Imaging III, (1 April 1998); doi: 10.1117/12.302429
Show Author Affiliations
Frederic Truchetet, Univ. de Bourgogne (France)
Francis Perot, Univ. de Bourgogne (France)
Olivier Laligant, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 3308:
Very High Resolution and Quality Imaging III
V. Ralph Algazi; Andrew G. Tescher, Editor(s)

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