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- W2075500992 abstract "Throughout recent years, many wavelet transforms (WTs) were used in digital image processing: the discrete WT (DWT), the stationary WT (SWT) or the hyperanalytic WT (HWT). All these transforms have in common a feature, the mother wavelets (MW). A great number of MWs was already proposed in literature. The purpose of this paper is the selection of MW for hyperanalytic Bayesian image denoising on the basis of its space-frequency localization. The MW with the same space-frequency localization as the elements of the input image gives the better results. Some procedures for the evaluation of the space-frequency localization of MWs and input images are proposed and applied to optimize the results obtained by the simulations of denoising, indicating the most appropriate MW." @default.
- W2075500992 created "2016-06-24" @default.
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- W2075500992 date "2012-06-01" @default.
- W2075500992 modified "2023-09-30" @default.
- W2075500992 title "SPACE-FREQUENCY LOCALIZATION AS BIVARIATE MOTHER WAVELETS SELECTING CRITERION FOR HYPERANALYTIC BAYESIAN IMAGE DENOISING" @default.
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- W2075500992 doi "https://doi.org/10.1142/s0219477512500095" @default.
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