Human visual characteristics guided LCD backlight luminance scaling method for power minimization

In order to realize the energy saving of the backlight in liquid crystal display (LCD) with approximate image quality, a human visual characteristics guided backlight luminance scaling method is proposed for power minimization. Image histogram clipping and extension steps are firstly established based on the luminance consistency theory. Dark and bright regions of the image are weighted respectively based on the human visual threshold property and then the histogram is clipped to the restricted range. To compensate the degrading of the backlight, visual attention architecture is then imported to extend the histogram nonlinearly and assign the complex image region with a larger weight. Experimental results show that the algorithm can save about 50% backlight energy with 5% image distortion.