Skip to Main content Skip to Navigation
Journal articles

A Novel Approach for Medical Images Noise Reduction Using Neural Filter

Abstract : This paper is dedicated to the presentation of a new denoising method for medical images. In the proposed approach, a neural filter is designed based on total variation regularization using a multilayer neural network (MLP) to reduce the noise from the degraded images. To train the network we use optimization techniques, which require the calculation of the gradient of the error to adjust the weights by the minimization of an appropriate error function. The new approach is based on taking profit from local information (neighborhood) of the pixel to denoise it. The proposed method can restore degraded images and preserves the discontinuities. The considered filter was used to reduce noise from X-ray and MRI medical images giving good results when compared to other approaches.
Document type :
Journal articles
Complete list of metadata
Contributor : Frédéric Davesne Connect in order to contact the contributor
Submitted on : Wednesday, April 25, 2018 - 12:15:33 PM
Last modification on : Friday, April 30, 2021 - 9:59:57 AM


  • HAL Id : hal-01778012, version 1


Mohammed Debakla, Khalifa Djemal, Mohamed Benyettou. A Novel Approach for Medical Images Noise Reduction Using Neural Filter. Global Journal on Technology, 2015, 8, pp.267--275. ⟨hal-01778012⟩



Record views