In this paper we study the nonsubsampled contourlet transform. We address the corresponding filter design problem using the Mc-Clellan transformation. We show how zeroes can be imposed in the filters so that the iterated structure produces regular basis functions. The proposed design framework yields filters that can be implemented efficiently through a lifting factorization. We apply the constructed transform in image noise removal where the results obtained are comparable to the state-of-the art, being superior in some cases.


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    Title :

    Nonsubsampled contourilet transform: filter design and applications in denoising


    Contributors:
    da Cunha, A.L. (author) / Zhou, J. (author) / Do, M.N. (author)


    Publication date :

    2005-01-01


    Size :

    546955 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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