An advanced emulated digital retina model on FPGA to implement a real-time test environment

This paper presents an extended emulated digital retina model to compute two different retina channels in video real-time. The proposed emulated digital implementation of the two-channel retina model was compared to the previously developed single channel model from three different points of view: processing speed, number of physical cells and accuracy. A real-time test environment with camera input and display output is going to be set up to analyze the retina model implementation on emulated digital CNN (cellular neural/nonlinear network) model by using a 6M gate equivalent FPGA (field programmable gate array)