Extended multi-channel pulse coupled neural network model

Multi-channel Pulse coupled neural network (m-PCNN) is a recently proposed fusion model, which can finish the whole process of image fusion. Compared with single-channel PCNN based methods, m-PCNN is simple and fast, making it suitable to real-time system. But it is lack of control to feed function, which may result in false fired pulse. In this paper, we propose an extended m-PCNN model for improved image quality. This extended m- PCNN model not only adds linking strength parameters to adjust the impact of feed function, but also extends the adjust function for the fused result. Experimental results have shown the effectiveness of extended m-PCNN fusion model.