MRI Image Denoising Approach based on TV and Neural Network Filter
نویسندگان
چکیده
To reduce the Gaussian noise from Magnetic Resonance Image (MRI) corrupted during their acquisition process, we propose a filtering method based RBF neural network. Indeed, the Gaussian noise is considered and formulated as constraints in an energy functional base on minimization of Total Variation (TV). In the RBF training stage, the backprobagation algorithm is used to solve the TV functional energy, where the reaches image is its solution. The considered filter has given good results of noise removal when compared to other approaches.
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