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    Optimally Weighted Highpass Filters using Multiscale Analysis

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    Author
    Nowak, Robert David; Baraniuk, Richard G.
    Date
    2006-06-12
    Abstract
    An obvious approach to image enhancement is to sharpen bright regions of an image more than darker regions. One very simple method to accomplish this is to weight the amount of highpass filtering proportional to the local mean. This gives rise to a class of nonlinear image enhancement filters known as mean-weighted highpass filters. We propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a wide class of filters and to assess the merits of each. We derive an automatic procedure to optimally tune a filter to the local structure of the image under consideration. The entire algorithm is fully automatic and requires no parameter specification from the user. Several simulations demonstrate the efficacy of the proposed algorithm.
    Description
    Conference Paper
    Citation
    R. D. Nowak and R. G. Baraniuk, "Optimally Weighted Highpass Filters using Multiscale Analysis," 1996.
    Published Version
    http://dx.doi.org/10.1109/IAI.1996.493757
    Keyword
    DSP for Communications
    Type
    Conference paper
    Citable link to this page
    https://hdl.handle.net/1911/20154
    Metadata
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    • DSP Publications [508]
    • ECE Publications [1460]

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    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map