This paper proposes a novel correlated shrinkage method based on wavelet joint statistics. Our objective is to demonstrate effectiveness of the wavelet correlation models [Z. Azimifar et al., 2004] in estimating the original signal from a noising observation. Simulation results are given to show the advantage of the new correlated shrinkage function. In comparison with the popular nonlinear shrinkage algorithms, it improves the denoised results.


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    Title :

    Correlated wavelet shrinkage: models of local random fields across multiple resolutions


    Contributors:
    Azimifar, Z. (author) / Fieguth, P. (author) / Jernigan, E. (author)


    Publication date :

    2005-01-01


    Size :

    919374 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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