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https://doi.org/10.2498/cit.2006.04.07

Image Recovery Using a New Nonlinear Adaptive Filter Based on Neural Networks

Armando De Giusti
Laura Lanzarini
German Osella Massa
Claudia Russo
Leonardo Corbalan


Puni tekst: engleski pdf 385 Kb

str. 315-320

preuzimanja: 614

citiraj


Sažetak

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 theWeiner 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.

Ključne riječi

Hrčak ID:

44647

URI

https://hrcak.srce.hr/44647

Datum izdavanja:

30.12.2006.

Posjeta: 1.029 *