Iterated Rician Denoising
نویسندگان
چکیده
We propose a novel variational method for Magnetic Resonance Image denoising which is based on the modelling of Rician noise. In the context of MAP estimation the resulting energy functional is minimized embedding its Euler-Lagrange equation in an iterative regularization scheme. The algorithm is tested with synthetic MR images and the results show the effectiveness of the method which provides high contrast denoised images.
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