Understanding wavelet image compression

Stephane G. Mallat; Frederic Falzon

doi:10.1117/12.271773

3 April 1997 Understanding wavelet image compression

Stephane G. Mallat, Frederic Falzon

Proceedings Volume 3078, Wavelet Applications IV; (1997) https://doi.org/10.1117/12.271773
Event: AeroSense '97, 1997, Orlando, FL, United States

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 R^1-2(gamma ). The constant (gamma) is typically of the order of 1 for natural images decomposed in a wavelet basis.

Citation Download Citation

Stephane G. Mallat and Frederic Falzon "Understanding wavelet image compression", Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); https://doi.org/10.1117/12.271773

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