Skip to search formSkip to main contentSkip to account menu

Pulse-coupled networks

Known as: Pcnn, Pulse-coupled neural networks 
Pulse-coupled networks or pulse-coupled neural networks (PCNNs) are neural models proposed by modeling a cat’s visual cortex, and developed for high… 
Wikipedia (opens in a new tab)

Related topics

Related topics

5 relations
AlgorithmImage processingImage segmentationNoise reduction

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
PCNN: Environment Adaptive Model Without Finetuning
Convolutional Neural Networks (CNNs) have achieved tremendous success for many computer vision tasks, which shows a promising… 
2013
2013
Image Fusion Based on Shearlets
Image decomposition is important to image fusion and affects the information extraction quality, even the whole fusion quality… 
2012
2012
A Medical Image Fusion Method Based on Lifting Wavelet Transform and Adaptive PCNN
2011
2011
A Novel Algorithm of Image Fusion Based on PCNN and Shearlet
2009
2009
Novel adaptive denoising method for extreme noise based on PCNN
2009
2009
A Novel Image Fusion Algorithm Based on Local Contrast and Adaptive PCNN: A Novel Image Fusion Algorithm Based on Local Contrast and Adaptive PCNN
2005
2005
A New Algorithm of Multi-modality Medical Image Fusion Based on Pulse-Coupled Neural Networks
In this paper, a new multi-modality medical image fusion algorithm based on pulse-coupled neural networks (PCNN) is presented… 
2004
2004
An Image Signature Based PCNN for Skilled Forgery Signature Detection
2002
2002
Landmark Detection for Cephalometric Radiology Images Using Pulse Coupled
The focus of this paper is to determine whether a pulse coupled neural network (PCNN) can be used to highlight regions containing… 
Review
1999
Review
1999
Guest Editorial Overview Of Pulse Coupled Neural Network (PCNN) Special Issue
Pulse coupled neural networks (PCNN's) have proven to be highly effective when used in a diverse set of applications. The theory…