Multiresolution transform and its application to pattern recognition

Robert J. Bonneau

doi:10.1117/12.242000

7 June 1996 Multiresolution transform and its application to pattern recognition

Robert J. Bonneau

Proceedings Volume 2751, Hybrid Image and Signal Processing V; (1996) https://doi.org/10.1117/12.242000
Event: Aerospace/Defense Sensing and Controls, 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 pattern recognition", Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); https://doi.org/10.1117/12.242000

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