OPTIMAL RECONSTRUCTION OF NATURAL IMAGES BY SMALL SETS OF GABOR FILTERS

Images can be reconstructed after being filtered by a Gaussian and a f ew 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 appli ed to a 2-D example. It is shown that the resulting parameters are bet ter than those of some existing models.