Speckle noise has been found to rotate an image's homomorphic elliptically distributed complex-wavelet coefficients. This work proposes a counter-rotation of these complex-wavelet coefficients as a means of mitigating speckle noise using principle component analysis. Simulations suggest that the proposed denoising technique offers superior visual quality, though its signal-to-mean-square-error ratio (S/MSE) is numerically comparable to the improvement obtained in customary median filtering and adaptive Wiener filtering.


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    Title :

    Speckle-noise reduction via "rotated elliptical-thresholding" in an homomorphic complex-wavelet domain


    Contributors:


    Publication date :

    2005-01-01


    Size :

    515639 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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