Multisensor image fusion using the wavelet transform
Graphical Models and Image Processing
Image Processing Using Pulse-Coupled Neural Networks
Image Processing Using Pulse-Coupled Neural Networks
Multi-focus image fusion using pulse coupled neural network
Pattern Recognition Letters
Dual-channel PCNN and Its Application in the Field of Image Fusion
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 01
Multi-focus image fusion using PCNN
Pattern Recognition
IEEE Transactions on Neural Networks
Physiologically motivated image fusion for object detection using a pulse coupled neural network
IEEE Transactions on Neural Networks
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Multisensor image fusion has its effective utilization for surveillance. In this paper, we utilize a pulse coupled neural network method to merge images from different sensors, in order to enhance visualization for surveillance. On the basis of standard mathematical model of pulse coupled neural network, a novel step function is adopted to generate pulses. Subjective and objective image fusion performance measures are introduced to assess the performance of image fusion schemes. Experimental results show that the image fusion method using pulse coupled neural network is effective to merge images from different sensors.