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During the image acquisition and communication the image is corrupted by noise. This is a classical problem in the field of signal or image processing. In this paper local statistical function is used to find the percentage of noise affected in the noise image. Dynamic denoising algorithm is used simultaneously as a tool for enhancing and tracking image pixel. The pixels are chosen based on the prediction...
The performance of image denoising based on multiscale geometric analysis (MGA), such as curvelets, contourlets, shearlets, has been researched extensively due to its effectiveness. In this paper, a shearlet-based bivariate shrinkage for image denoising is presented by taking into account the statistical dependencies between shearlet coefficients. Mutual information is used to achieve dependencies...
The Performance of various estimators, such as minimum mean square error (MMSE) is strongly dependent on correctness of the proposed model for original data distribution. Therefore, the selection of a proper model for distribution of wavelet coefficients is important in wavelet based image denoising. This paper presents a new image denoising algorithm based on the modeling of wavelet coefficients...
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