Image Enhancement by Wavelet Multi-scale Edge Statistics
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The distribution of wavelet modulus maxima across wavelet scales can be used to characterize edges in an image. In this paper, we present a novel algorithm that performs image enhancement by mapping the distribution of the wavelet modulus maxima of the blurred image to that of a generic sharp image. Experimental results confirm that the proposed algorithm is able to perform image enhancement without introducing unpleasant visual artifacts.
Proceedings of the 21st International Conference on Pattern Recognition
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