Optimal Local Dimming Based on an Improved Shuffled Frog Leaping Algorithm

The local backlight dimming technology has recently been presented for liquid crystal displays in order to reduce the power consumption of backlight and improve the quality of the display. Therefore, exploiting the tradeoff between the image quality and power consumption has become the focus of local backlight dimming technology. This paper considers the local backlight dimming as an optimization problem, i.e., how to preserve the image quality perception with a certain low backlight power consumption. To achieve this goal, we use the swarm intelligence algorithm. Specifically, an improved shuffled frog leaping algorithm is proposed for local backlight dimming. Simulation results show that the proposed algorithm achieves the better tradeoff between power consumption and image quality when compared to other algorithms based on image parameters.