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Proceedings Paper

Understanding wavelet image compression
Author(s): Stephane G. Mallat; Frederic Falzon
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Paper Abstract

It is shown that the high-resolution transform code framework is not appropriate to evaluate the performance of current image transform codes. The compression performance depends essentially on the precision of non-linear image approximations in the chosen orthogonal basis. At low bit rates, for a number of bit per pixel R that is below 1, the distortion is D(R) approximately R1-2(gamma ). The constant (gamma) is typically of the order of 1 for natural images decomposed in a wavelet basis.

Paper Details

Date Published: 3 April 1997
PDF: 20 pages
Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); doi: 10.1117/12.271773
Show Author Affiliations
Stephane G. Mallat, Ecole Polytechnique, New York Univ., and INRIA Sophia Antipolis (France)
Frederic Falzon, Ecole Polytechnique, New York Univ., and INRIA Sophia Antipolis (France)


Published in SPIE Proceedings Vol. 3078:
Wavelet Applications IV
Harold H. Szu, Editor(s)

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