Signal reconstruction with a small set Gabor filters

Jos H. van Deemter; Gabriel Cristobal

doi:10.1117/12.253440

8 October 1996 Signal reconstruction with a small set Gabor filters

Jos H. van Deemter, Gabriel Cristobal

Proceedings Volume 2823, Statistical and Stochastic Methods for Image Processing; (1996) https://doi.org/10.1117/12.253440
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

A normalization algorithm is proposed that improves the reconstructions of signals. After decomposing a signal in even linear bandpass filtered signals and a low-pass residual, it can be reconstructed reasonable well for a good choice of filters. However, to obtain good results the filter parameters must be chosen in such a way that they cover the frequency domain sufficiently well. This is often difficult for a small set of filters. We derive and demonstrate that in many situations it can be profitable to normalize the reconstructed image with respect to two global statistical parameters of the original image.

Citation Download Citation

Jos H. van Deemter and Gabriel Cristobal "Signal reconstruction with a small set Gabor filters", Proc. SPIE 2823, Statistical and Stochastic Methods for Image Processing, (8 October 1996); https://doi.org/10.1117/12.253440

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