Anzeige
Erschienen in:
2005 | OriginalPaper | Buchkapitel
Image Denoising Using Stochastic Chaotic Simulated Annealing
verfasst von : Lipo Wang, Leipo Yan, Kim-Hui Yap
Erschienen in: Intelligent Multimedia Processing with Soft Computing
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In this Chapter, we present a new approach to image denoising based on a novel optimization algorithm called stochastic chaotic simulated annealing. The original Bayesian framework of image denoising is reformulated into a constrained optimization problem using continuous relaxation labeling. To solve this optimization problem, we then use a noisy chaotic neural network (NCNN), which adds noise and chaos into the Hopfield neural network (HNN) to facilitate efficient searching and to avoid local minima. Experimental results show that this approach can offer good quality solutions to image denoising.