Multiscale Denoising Algorithm Based on the à Trous Algorithm
نویسندگان
چکیده
In this work we present a novel application to the multiscale denoising algorithm proposed by Sita & Ramakrishnan [1]. We used it to filter artificially contaminated images by multiplicative speckle and additive Gaussian noise, respectively. This filtering scheme is a combination of the shift invariant discrete wavelet and nonlinear filtering applied to evoked potential signals. It employs a redundant discrete wavelet (the algorithm à trous) removing the smallest wavelet coefficients in each dyadic scale guided by the correlation existing between them in different scales.
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