Image enhancement by wavelet multi-scale edge statistics

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....

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Bibliographic Details
Main Authors: Liew, A. W-C, Jun Jo, Yong-Sik Chun, Tae-Hong Ahn, Tae Byong Chae
Format: Conference Proceeding
Language:English
Subjects:
Image edge detection
Image enhancement
Image reconstruction
Signal processing algorithms
Smoothing methods
Wavelet transforms
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Summary: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.
ISSN:1051-4651
2831-7475