A maximum a posteriori approach of hyperanalytic wavelet based image denoising in a multi-wavelet context
Ioana Firoiu, Alexandru Isar, Dorina Isar · International Conference on Signal Processing · 2010
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.