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  • Image Enhancement by Wavelet Multi-scale Edge Statistics

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    84033_1.pdf (768.6Kb)
    Author(s)
    Liew, Alan Wee-Chung
    Jo, Jun
    Chun, Yong-Sik
    Ahn, Tae-Hong
    Chae, Tae Byong
    Griffith University Author(s)
    Jo, Jun
    Liew, Alan Wee-Chung
    Year published
    2012
    Metadata
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    Abstract
    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.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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    Conference Title
    2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012)
    Publisher URI
    http://ieeexplore.ieee.org/document/6460557
    Copyright Statement
    © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Image processing
    Publication URI
    http://hdl.handle.net/10072/49674
    Collection
    • Conference outputs

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