For most of mobile devices with a large screen, image quality and power consumption are both of the major factors affecting the consumers’ preference. Contents-adaptive backlight control (CABC) method can be utilized to adjust the backlight and promote the performance of mobile devices. Unlike the previous works mostly focusing on the reduction of power consumption, both of image quality and power consumption are taken into account in the proposed method. Firstly, region of interest (ROI) is detected to divide image into two parts: ROI and non-ROI. Then, three attributes including entropy, luminance, and saturation information in ROI are calculated. To achieve high perceived image quality in mobile devices, optimal value of backlight can be calculated by a linear combination of the aforementioned attributes. Coefficients of the linear combination are determined by applying the linear regression to the subjective scores of human visual experiments and objective values of the attributes. Based on the optimal value of backlight, displayed image data are processed brightly and backlight is darkened to reduce the power consumption of backlight later. Here, the ratios of increasing image data and decreasing backlight functionally depend on the luminance information of displayed image. Also, the proposed method is hardware implemented. Experimental results indicate that the proposed technique exhibits better performance compared to the conventional methods.