Add to ORKGIn this paper, researches are deep done on using PCNN-pulse coupled neural network, a new artificial neural network based on biology, to restore binary images and smooth images. Meanwhile, the image restoration algorithm based on PCNN is brought forward. The results of computer simulations show that noisy binary images can be restored efficiently by using PCNN and the SNRs of restored images by using PCNN is higher than by using one of two usual image restoration methods, the median filter and the mean filter.Computer Science, Artificial IntelligenceComputer Science, Hardware & ArchitectureRoboticsCPCI-S(ISTP)
PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficien...
In the thesis, we have implemented different neural network approaches to solve image restoration an...
Today optical measuring devices are used in many applications. The measurement accuracy should be ve...
PCNN-pulse coupled neural network, based on the phenomena of synchronous pulse bursts in the animal ...
This paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their applications i...
PCNN (Pulse Coupled Neural Network), a phenomenological model exhibiting synchronous pulse bursts, c...
With the development of computer science and technology, the development of artificial intelligence ...
A pulse-coupled neuron (PCN) circuit is proposed. This circuit uses a positive feedback circuit with...
The pulse-coupled neuron, which is significantly-different from the conventional artificial neuron, ...
In this paper, the neural network algorithm was employed in the restoration of image. Here the motio...
Image restoration is a process that restores a degraded image to its original or near original form....
A new approach for maximum posterior probability (MAP) image restoration based on cellular neural ne...
© 2016, CIMNE, Barcelona, Spain. Pulse-coupled neural networks (PCNN) have an inherent ability to pr...
Based on the property of Human vision system (HVS) that human eye's sensitivity to an image varies w...
The neural network finds its application in many image denoising applications because of its inheren...
PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficien...
In the thesis, we have implemented different neural network approaches to solve image restoration an...
Today optical measuring devices are used in many applications. The measurement accuracy should be ve...
PCNN-pulse coupled neural network, based on the phenomena of synchronous pulse bursts in the animal ...
This paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their applications i...
PCNN (Pulse Coupled Neural Network), a phenomenological model exhibiting synchronous pulse bursts, c...
With the development of computer science and technology, the development of artificial intelligence ...
A pulse-coupled neuron (PCN) circuit is proposed. This circuit uses a positive feedback circuit with...
The pulse-coupled neuron, which is significantly-different from the conventional artificial neuron, ...
In this paper, the neural network algorithm was employed in the restoration of image. Here the motio...
Image restoration is a process that restores a degraded image to its original or near original form....
A new approach for maximum posterior probability (MAP) image restoration based on cellular neural ne...
© 2016, CIMNE, Barcelona, Spain. Pulse-coupled neural networks (PCNN) have an inherent ability to pr...
Based on the property of Human vision system (HVS) that human eye's sensitivity to an image varies w...
The neural network finds its application in many image denoising applications because of its inheren...
PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficien...
In the thesis, we have implemented different neural network approaches to solve image restoration an...
Today optical measuring devices are used in many applications. The measurement accuracy should be ve...