A Low-Power Contrast Enhancement Algorithm Using Histogram Segmentation and Circuit Implementation for AMOLED Applications

A low-power contrast enhancement algorithm is proposed for active-matrix organic light-emitting diode (AMOLED) applications in this paper. Compared with the conventional contrast enhancement on global images, the proposed contrast enhancement has been implemented for each histogram segment, respectively, which is better for local contrast. An effective power reduction method to conserve local details is also presented based on the histogram segmentation. Moreover, a self-adaptation power reduction mechanism is further employed to achieve the tradeoff between the image quality and the power consumption for videos. Finally, the algorithm has been implemented on a FPGA with a 2.8-in AMOLED panel. The simulation and experimental results demonstrate that power consumption is reduced by 30%-40% using the algorithm, while keeping a good image quality.