Choice of wavelet smoothness, primary resolution and threshold in wavelet shrinkage
Statistics and Computing
Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
IEEE Transactions on Signal Processing
Multiscale MAP filtering of SAR images
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding
IEEE Transactions on Image Processing
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In this paper we propose the use of a new implementation of the hyperanalytic wavelet transform, (HWT), in association with a Maximum a Posteriori (MAP) filter named bishrink. Such a denoising method is sensitive to the selection of the mother wavelets used for the computation of the HWT. Taking into account the drawbacks of the bishrink filter and the sensibility with the selection of the mother wavelets we propose a denoising method in two stages in a multi-wavelet context. Some simulation examples and comparisons prove the performances of the proposed denoising method.