Add to ORKGA Cellular Nonlinear Network (CNN) based on uncoupled nonlinear oscillators is proposed for image processing purposes. It is shown theoretically and numerically that the contrast of an image loaded at the nodes of the CNN is strongly enhanced, even if this one is initially weak. An image inversion can be also obtained without recon guration of the network whereas a gray levels extraction can be performed with an additional threshold ltering. Lastly, an electronic implementation of this CNN is presented
Abstract — In this paper, a two-layer cellular neu-ral network model is proposed, in which two new t...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
A new approach for maximum posterior probability (MAP) image restoration based on cellular neural ne...
International audienceA cellular nonlinear network (CNN) based on uncoupled nonlinear oscillators is...
International audienceWe have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinea...
We have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinear oscillator proper-ti...
Abstract — We propose a cellular nonlinear network based on reaction-diffusion equations for image p...
In this paper the minimization of a functional defined in the context of biomedical image processing...
Abstract− − In this paper, a systematic discussion of both pros and cons of two well-known tradition...
We propose a Cellular Nonlinear Network (CNN) ruled by reaction-diffusion equations for quality cont...
International audienceWe use the multistable property of a Cellular Nonlinear Network (CNN) to extra...
Abstract — In this study, we research a new layer arrangement of three layer cellular neural network...
An approach for image restoration based on cellular neural network(CNN) is proposed.Based on Gibbs i...
Abstract In this research, we propose cellular neural networks using mixture template as an example ...
Abstract—In this paper, we research the combination of two neurons in the Cellular Neural Networks (...
Abstract — In this paper, a two-layer cellular neu-ral network model is proposed, in which two new t...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
A new approach for maximum posterior probability (MAP) image restoration based on cellular neural ne...
International audienceA cellular nonlinear network (CNN) based on uncoupled nonlinear oscillators is...
International audienceWe have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinea...
We have recently proposed a Cellular Nonlinear Network (CNN) based on nonlinear oscillator proper-ti...
Abstract — We propose a cellular nonlinear network based on reaction-diffusion equations for image p...
In this paper the minimization of a functional defined in the context of biomedical image processing...
Abstract− − In this paper, a systematic discussion of both pros and cons of two well-known tradition...
We propose a Cellular Nonlinear Network (CNN) ruled by reaction-diffusion equations for quality cont...
International audienceWe use the multistable property of a Cellular Nonlinear Network (CNN) to extra...
Abstract — In this study, we research a new layer arrangement of three layer cellular neural network...
An approach for image restoration based on cellular neural network(CNN) is proposed.Based on Gibbs i...
Abstract In this research, we propose cellular neural networks using mixture template as an example ...
Abstract—In this paper, we research the combination of two neurons in the Cellular Neural Networks (...
Abstract — In this paper, a two-layer cellular neu-ral network model is proposed, in which two new t...
When low-level hardware simulations of cellular neural networks (CNNs) are very costly for exploring...
A new approach for maximum posterior probability (MAP) image restoration based on cellular neural ne...