Image compression with adaptive Haar-Walsh tilings

Maj Lindberg; Lars F. Villemoes

doi:10.1117/12.408575

4 December 2000 Image compression with adaptive Haar-Walsh tilings

Maj Lindberg, Lars F. Villemoes

Proceedings Volume 4119, Wavelet Applications in Signal and Image Processing VIII; (2000) https://doi.org/10.1117/12.408575
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

We perform adaptive joint space and frequency tilings including all levels in the Haar-Walsh wavelet packet tree for 2D signals. The method gives surprisingly good results in terms of nonlinear approximation. The visual quality of the compressed images with this method is the same as the quality using twice the number of coefficients for wavelets and standard wavelet packets when Haar filters are used. When all levels are allowed the cost for description of the location of the winning coefficients is not negligible. A tiling information vector is introduced for description of the chosen basis and the original image can be easily and quickly reconstructed using this information. For image compression, this tilting information vector is compressed to only those nodes which correspond to kept coefficients, and this makes the adaptive scheme competitive.

Citation Download Citation

Maj Lindberg and Lars F. Villemoes "Image compression with adaptive Haar-Walsh tilings", Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); https://doi.org/10.1117/12.408575

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