Add to ORKGAn approach for image restoration based on cellular neural network(CNN) is proposed.Based on Gibbs image model,some information of image can be used in CNN template design.So cellular neural network can deal with more image processing questions,like MAP(maximum a posterior) image restoration.But ...China Neural Networks Council
Abstract—In this paper, we research the combination of two neurons in the Cellular Neural Networks (...
Cellular neural networks proved to be a useful parallel computing system for image processing applic...
In the thesis, we have implemented different neural network approaches to solve image restoration an...
A new approach for maximum posterior probability (MAP) image restoration based on cellular neural ne...
A new approach for image restoration by cellular neural network (CNN) is developed in this paper. Ba...
Image restoration is a process that restores a degraded image to its original or near original form....
Digital Image inpainting methods provide a means for reconstruction of small damaged portions of an ...
Neural network learning approach for color image restoration has been discussed in this paper and on...
A Cellular Nonlinear Network (CNN) based on uncoupled nonlinear oscillators is proposed for image pr...
International audienceA cellular nonlinear network (CNN) based on uncoupled nonlinear oscillators is...
In this paper, a kind of relation between CNN (cellular neural network) and GIM (Gibbs image model) ...
Cellular neural networks (CNN) have traditionally been used to perform nonlinear operations on image...
works depend on template. Additionally, the CNN can process varied applications by the template. How...
Abstract- When low-level hardware simulations of cellular neural networks (CNN’s) are very costly fo...
In this paper the minimization of a functional defined in the context of biomedical image processing...
Abstract—In this paper, we research the combination of two neurons in the Cellular Neural Networks (...
Cellular neural networks proved to be a useful parallel computing system for image processing applic...
In the thesis, we have implemented different neural network approaches to solve image restoration an...
A new approach for maximum posterior probability (MAP) image restoration based on cellular neural ne...
A new approach for image restoration by cellular neural network (CNN) is developed in this paper. Ba...
Image restoration is a process that restores a degraded image to its original or near original form....
Digital Image inpainting methods provide a means for reconstruction of small damaged portions of an ...
Neural network learning approach for color image restoration has been discussed in this paper and on...
A Cellular Nonlinear Network (CNN) based on uncoupled nonlinear oscillators is proposed for image pr...
International audienceA cellular nonlinear network (CNN) based on uncoupled nonlinear oscillators is...
In this paper, a kind of relation between CNN (cellular neural network) and GIM (Gibbs image model) ...
Cellular neural networks (CNN) have traditionally been used to perform nonlinear operations on image...
works depend on template. Additionally, the CNN can process varied applications by the template. How...
Abstract- When low-level hardware simulations of cellular neural networks (CNN’s) are very costly fo...
In this paper the minimization of a functional defined in the context of biomedical image processing...
Abstract—In this paper, we research the combination of two neurons in the Cellular Neural Networks (...
Cellular neural networks proved to be a useful parallel computing system for image processing applic...
In the thesis, we have implemented different neural network approaches to solve image restoration an...