Abstract- This paper proposes an approach for pixel transformation of the displayed image to increase the potential energy saving of the backlight scaling method. The proposed approach takes advantage of human visual system characteristics and tries to minimize distortion between the perceived brightness values of the individual pixels in the original image and those of the backlight-scaled image. This is in contrast to previous backlight scaling approaches which simply match the luminance values of the individual pixels in the original and backlight-scaled images. Moreover, the proposed dynamic backlight scaling approach, which is based on tone mapping, is amenable to highly efficient hardware realization because it does not need information about the histogram of the displayed image. Experimental results show that the dynamic tone mapping for backlight scaling method results in about 35 % power saving with an effective distortion rate of 5 % and 55 % power saving for a 20 % distortion rate.

This paper presents a temporally-aware backlight scaling (TABS) technique for video streams. The goal is to maximize energy saving in the display system by means of dynamic backlight dimming subject to a user-specified tolerance on the video distortion. The video distortion itself comprises of (i) an intraframe (spatial) distortion component due to frame-sensitive backlight scaling and transmittance function tuning and (ii) an inter-frame (temporal) distortion component due to large-step backlight dimming across multiple frames and modulated by the physiological characteristics of the human visual system. The proposed backlight scaling technique is capable of efficiently computing the flickering effect online and subsequently using a measure of the temporal distortion to appropriately adjust the slack on the intra-frame spatial distortion. The proposed technique has been implemented on the Apollo Testbed II hardware platform. Actual current measurements on this platform demonstrate the superiority of TABS compared to previous backlight dimming techniques.

This paper presents a temporally-aware backlight scaling (TABS) technique for video streams. The goal is to maximize energy saving in the display system by means of dynamic backlight dimming subject to a user-specified tolerance on the video distortion. The video distortion itself comprises of (i) an intraframe (spatial) distortion component due to frame-sensitive backlight scaling and transmittance function tuning and (ii) an inter-frame (temporal) distortion component due to large-step backlight dimming across multiple frames and modulated by the physiological characteristics of the human visual system. The proposed backlight scaling technique is capable of efficiently computing the flickering effect online and subsequently using a measure of the temporal distortion to appropriately adjust the slack on the intra-frame spatial distortion. The proposed technique has been implemented on the Apollo Testbed II hardware platform. Actual current measurements on this platform demonstrate the superiority of TABS compared to previous backlight dimming techniques.