Skip to Main content Skip to Navigation
Journal articles

Contribution à la restauration d'images par un modèle de réseau de neurones

Abstract : The reduction of the blur and the noise is an important task in image processing. Indeed, these two types of degradation are some undesirable components during some high level treatments. In this paper, we propose an optimization method based on neural network model for the regularized image restoration. We used in this application a modified Hopfield neural network. We propose two algorithms using the modified Hopfield neural network with two updating modes : the algorithm with a sequential updates and the algorithm with the n-simultaneous updates. The quality of the obtained result attests the efficiency of the proposed method when applied on several images degraded with blur and noise.
Document type :
Journal articles
Complete list of metadata

Cited literature [23 references]  Display  Hide  Download

https://hal.inria.fr/hal-01261702
Contributor : Coordination Episciences Iam <>
Submitted on : Monday, January 25, 2016 - 5:11:47 PM
Last modification on : Wednesday, October 30, 2019 - 4:34:07 PM
Long-term archiving on: : Tuesday, April 26, 2016 - 11:31:32 AM

File

arima00102.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : hal-01261702, version 1

Collections

Citation

Karim Achour, Nadia Zenati, Oualid Djekoune. Contribution à la restauration d'images par un modèle de réseau de neurones. Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, INRIA, 2002, 1, pp.15-38. ⟨hal-01261702⟩

Share

Metrics

Record views

175

Files downloads

1112