Liquid Crystal Displays have appeared in applications ranging from medical equipment to automobiles, gas pumps, Laptops and handheld portable computers. These display components present a cascaded energy attenuator to the battery of handheld device which is responsible for about half of energy drain at maximum display intensity. As such, the display components become the main focus of every effort for maximization of embedded system's battery life-time. 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 (HVS) 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. Furthermore, this paper proposes a temporally-aware backlight scaling technique for video streams. The goal is to maximize energy saving in the display system by means of dynamic backlight dimming subject to a video distortion tolerance. The video distortion comprises of (1) an intra-frame (spatial) distortion component due to frame-sensitive backlight scaling and transmittance function tuning and (2) an interframe (temporal) distortion component due to large-step backlight dimming across frames modulated by the psychophysical 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, thereby, achieving a good balance between the two sources of distortion while maximizing the backlight dimming-driven energy saving in the display system and meeting an overall video quality figure of merit. The proposed dynamic backlight scaling approach is amenable to highly efficient hardware realization and has been implemented on the Apollo Testbed II. Actual current measurements demonstrate the effectiveness of proposed technique compared to the previous backlight dimming techniques, which have ignored the temporal distortion effect.2
Abstract— A 1‐D LED‐backlight‐scanning technique and a 2‐D local‐dimming technique for large LCD TVs are presented. These techniques not only reduce the motion‐blur artifacts by means of impulse representation of images in video, but also increase the static contrast ratio by means of local dimming in the image(s). Both techniques exploit a unique feature of an LED backlight in large LCD TVs in which the whole panel is divided into a pre‐defined number of regions such that the luminance in each region is independently controllable. The proposed techniques are implemented in a Xilinx FPGA and demonstrated on a Samsung 40‐in. LCD TV. Measurement results show that the proposed techniques significantly reduce the motion‐blur artifacts, enhance the static contrast ratio by about 3×, and reduce the power consumption by 10% on average.
An effective thermal management scheme, called active bank switching, for temperature control in the register file of a microprocessor is presented. The idea is to divide the physical register file into two equal-sized banks, and to alternate between the two banks when allocating new registers to the instruction operands. Experimental results show that this periodic active bank switching scheme achieves 3.4℃ of steady-state temperature reduction, with a mere 0.75% average performance penalty.
In this paper, we propose an effective dynamic thermal management (DTM) scheme for MPEG-2 decoding by allowing some degree of spatiotemporal quality degradation. Given a target MPEG-2 decoding time, we dynamically select either an intraframe spatial degradation or an inter-frame temporal degradation strategy in order to make sure that the microprocessor chip will continue to stay in a thermally safe state of operation, albeit with certain amount of image/video quality loss. For our experiments, we use the MPEG-2 decoder program of MediaBench and modify/combine Wattch and HotSpot for the power and thermal simulations and measurements, respectively. Our experimental results show that we achieve thermally safe state with spatial quality degradation of 0.12 Root Mean Square Error (RMSE) and with frame drop rate of 12.5% on average.
In this paper, we propose an effective dynamic thermal management (DTM) scheme for MPEG-2 decoding by allowing some degree of spatiotemporal quality degradation. Given a target MPEG-2 decoding time, we dynamically select either an intraframe spatial degradation or an inter-frame temporal degradation strategy in order to make sure that the microprocessor chip will continue to stay in a thermally safe state of operation, albeit with certain amount of image/video quality loss. For our experiments, we use the MPEG-2 decoder program of MediaBench and modify/combine Wattch and HotSpot for the power and thermal simulations and measurements, respectively. Our experimental results show that we achieve thermally safe state with spatial quality degradation of 0.12 Root Mean Square Error (RMSE) and with frame drop rate of 12.5% on average.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.