Image Enhancement by Wavelet Multi-scale Edge Statistics

Alan Wee‐Chung Liew, Jun Hyung Jo, Yong-Sik Chun, Ahn, Tae-Hong, Tae Byong Chae · Griffith Research Online · 2012

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.

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