Saliency aware display power management

Authors:
Yang Xiao;Kevin Irick;Vijaykrishnan Narayanan;Donghwa Shin;Naehyuck Chang
Affiliations:
The Pennsylvania State University, University Park, PA;The Pennsylvania State University, University Park, PA;The Pennsylvania State University, University Park, PA;Seoul National University, Seoul, Korea;Seoul National University, Seoul, Korea
Venue:
Proceedings of the Conference on Design, Automation and Test in Europe
Year:
2013

Citing 10
Cited 0

A Model of Saliency-Based Visual Attention for Rapid Scene Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Low-power color TFT LCD display for hand-held embedded systems

Proceedings of the 2002 international symposium on Low power electronics and design
Low Power Control Techniques For TFT LCD Displays

CASES '02 Proceedings of the 2002 international conference on Compilers, architecture, and synthesis for embedded systems
DLS: dynamic backlight luminance scaling of liquid crystal display

IEEE Transactions on Very Large Scale Integration (VLSI) Systems
LCD Display Energy Reduction by User Monitoring

ICCD '05 Proceedings of the 2005 International Conference on Computer Design
Temporal vision-guided energy minimization for portable displays

Proceedings of the 2006 international symposium on Low power electronics and design
Sensing user intention and context for energy management

HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
Object-based local dimming for LCD systems with LED BLUs

Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
A backlight dimming algorithm for low power and high image quality LCD applications

IEEE Transactions on Consumer Electronics
Measuring the Gap Between FPGAs and ASICs

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a bio-inspired technique of finding the regions of highest visual importance within an image is proposed for reducing power consumption in modern liquid crystal displays (LCDs) that utilize a 2D light-emitting diode (LED) backlighting system. The conspicuity map generated from this neuromorphic saliency model, along with an adaptive dimming method, is applied to the backlighting array to reduce the luminance of regions of least interest as perceived by a human viewer. Corresponding image compensation is applied to the saliency modulated image to minimize distortion and retain the original image quality. Experimental results shows average 65% power can be saved when the original display system is integrated with a low-overhead real-time hardware implementation of the saliency model.