A Maximum A Posteriori Approach of Hyperanalytic Wavelet Based Image Denoising in a Multi-Wavelet Context
نویسندگان
چکیده
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. Key-Words: MAP filter, Hyperanalytic Wavelet Transform, denoising, bishrink
منابع مشابه
A Bayesian Approach of Wavelet Based Image Denoising in a Hyperanalytic Multi-Wavelet Context
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. The denoising methods based on wavelets are sensitive to the selection of the mother wavelets. Taking into account the drawbacks of the bishrink filter and the sensitivity with the selection of the mother wavelets we propose a denoisin...
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