Multilayered image compression

Francois G. Meyer; Amir Z. Averbuch; Jan-Olov Stroemberg; Ronald Raphael Coifman

doi:10.1117/12.328130

19 October 1998 Multilayered image compression

Francois G. Meyer, Amir Z. Averbuch, Jan-Olov Stroemberg, Ronald Raphael Coifman

Proceedings Volume 3458, Wavelet Applications in Signal and Imaging Processing VI; (1998) https://doi.org/10.1117/12.328130
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

The main contribution of this work is a new paradigm for image compression. We describe a new multi-layered representation technique for images. An image is encoded as the superposition of one main approximation, and a sequence of residuals. The strength of the multi-layered method comes from the fact that we use different bases to encode the main approximation and the residuals. For instance, we can use: a wavelet basis to encode a coarse main approximation of the image, wavelet packet bases to encode textured patterns, brushlet bases to encode localized oriented textured features, etc.

Citation Download Citation

Francois G. Meyer, Amir Z. Averbuch, Jan-Olov Stroemberg, and Ronald Raphael Coifman "Multilayered image compression", Proc. SPIE 3458, Wavelet Applications in Signal and Imaging Processing VI, (19 October 1998); https://doi.org/10.1117/12.328130

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