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Optimal Reconstruction of Natural Images by Small Sets of Gabor Filters

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Abstract

Images can be reconstructed after being filtered by a Gaussian and a few Gabor filters. Several search methods for the filter parameters for a (near) optimal reconstruction are examined. At first, the search is performed on a 1-D signal which satisfies the radial spectrum of the average of natural images. Later, these results are extended and applied to a 2-D example. It is shown that the resulting parameters are better than those of some existing models.

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Van Deemter, J.H., Cristobal, G. Optimal Reconstruction of Natural Images by Small Sets of Gabor Filters. Multidimensional Systems and Signal Processing 9, 459–463 (1998). https://doi.org/10.1023/A:1008439232168

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  • DOI: https://doi.org/10.1023/A:1008439232168

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