Time-multiplexing cellular neural network in FPGA for image processing

While efficient simulators for Time-Multiplexing Cellular Neural Networks have been reported, no reports on implementations in FPGA have been presented. A Time-Multiplexing Cellular Neural Network is implemented within a FPGA for image processing. The network has been used to perform tasks, such as edge detection and noise remover over several test templates. Implementation results are compared with a simulator using MATLAB and presented in this work showing that this procedure is very reliable for image processing.