A Low Power and Low Complexity Automatic White Balance Algorithm for AMOLED Driving Using Histogram Matching

This paper presents a low power, low complexity and high hardware efficiency automatic white balance algorithm based on histogram matching (AWB-HM) for active-matrix organic light-emitting diode (AMOLED) driving. The main idea of AWB-HM algorithm is to reduce the display power by power constraint, and then increase the overlap area (OA) of three color histograms by histogram matching. The computation complexity in the proposed algorithm is reduced without estimating the gains of red, green, and blue channels in the conventional automatic white balance (AWB) algorithms. Moreover, adders rather than multipliers are mainly used in the algorithm, which is easier for the hardware realization. The simulation results show that the value of OA for the images processed by the proposed algorithm is 26.4% and 58.7% larger than that of gray-world (GW) and white-patch (WP) algorithm, respectively. Furthermore, the power dissipation and the time complexity is reduced compared with other algorithms. The proposed algorithm has been applied to AMOLED and the color cast of image is improved significantly.