Wavelet packets and multiresolution criterion for color image compression

Frederic Truchetet; Francis Perot; Olivier Laligant

doi:10.1117/12.302429

1 April 1998 Wavelet packets and multiresolution criterion for color image compression

Frederic Truchetet, Francis Perot, Olivier Laligant

Proceedings Volume 3308, Very High Resolution and Quality Imaging III; (1998) https://doi.org/10.1117/12.302429
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

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.

Citation Download Citation

Frederic Truchetet, Francis Perot, and Olivier Laligant "Wavelet packets and multiresolution criterion for color image compression", Proc. SPIE 3308, Very High Resolution and Quality Imaging III, (1 April 1998); https://doi.org/10.1117/12.302429

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KEYWORDS

Image compression

Wavelets

Data compression

Image analysis

Visualization

Human vision and color perception

Image quality

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