Delay-driven contrast enhancement using a cellular neural network with state-dependent delay

We design a cellular neural network model with state-dependent delay to perform delay-driven contrast enhancement on continuous image sequences, e.g., in moving image data. We report here some preliminary results of a simulation of this system using a recently-released algorithm for solving systems of delay differential equations containing state-dependent delays.