Implementation of real time color gamut mapping using neural network

A color gamut mapping is a process of mapping colors from the gamut of a source medium to fit the gamut of the reproduction medium. The input and output relationship of the color gamut mapping is highly nonlinear and there is a need to process the color gamut mapping in real-time. In this paper, a neural network is applied to the real time color gamut mapping. By the learning ability, the neural network is trained to effectively handle the high nonlinearity of the color gamut mapping. And also real time hardware architecture of neural network is presented in this paper. Simulation result shows the soundness of the proposed method.