Backlight extraction method based on radial basis function neural network proxy model assisted particle swarm optimization

The invention discloses a backlight extraction method based on a radial basis function neural network proxy model assisted particle swarm optimization. The backlight extraction method comprises the following steps of regarding a backlight extraction process in regional dimming as an optimization problem, and solving the optimization problem based on a particle swarm optimization (PSO) to obtain a group of optimal backlight arrays. In order to improve the efficiency of the algorithm, an RBFN proxy model is applied to the solving process of the algorithm, and the RBFN proxy model is used for replacing the complex and time-consuming backlight smoothing and pixel compensation process. Compared with a backlight extraction method based on image parameters and a backlight extraction method based on an evolutionary algorithm, the backlight extraction method based on the radial basis function neural network proxy model assisted particle swarm algorithm has the advantages of high image display quality and high algorith