TY  - GEN
T1  - Image recovery using a new nonlinear adaptive filter based on neural networks
A1  - Corbalán, Leonardo César
A2  - Russo, Claudia Cecilia
A2  - Lanzarini, Laura Cristina
A2  - De Giusti, Armando Eduardo
A2  - Massa, G. O.
LA  - English
UL  - http://vufind10-pruebas.sigbunlp.bibliotecas.unlp.edu.ar/Record/dun.55705
AB  - This work defines a new nonlinear adaptive filter based on a feed-forward neural network with the capacity of significantly reducing the additive noise of an image. Even though measurements have been carried out using X-ray images with additive white Gaussian noise, it is possible to extend the results to other type of images. Comparisons have been carried out with the Weiner filter because it is the most effective option for reducing Gaussian noise. In most of the cases, image reconstruction using the proposed method has produced satisfactory results. Finally, some conclusions and future work lines are presented
NO  - Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática-UNLP (Colección BIPA / Biblioteca.) -- Disponible también en línea (Cons. 18/06/2014)
KW  - REDES NEURONALES
ER  -