Multiresolution transform and its application to image coding

Robert J. Bonneau

doi:10.1117/12.233271

27 February 1996 Multiresolution transform and its application to image coding

Robert J. Bonneau

Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233271
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States

Abstract

Traditional wavelet edge detection and encoding schemes preserve shape features of objects effectively at a variety of spatial scales and also allow an efficient means of image and video compression. However these schemes also remove texture from imagery and thus image reproduction quality suffers. Fractal encoding techniques on the other hand generate high compression ratios but tend to introduce blocky artifacts in imagery. Thus we describe an encoding method that combines the shape preserving capability of wavelets with the compression qualities of fractal compression for a hybrid multiresolution technique that achieves high compression, selective and accurate feature preservation, and is computationally efficient.

Citation Download Citation

Robert J. Bonneau "Multiresolution transform and its application to image coding", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233271

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