Robust OLED displays dimming algorithm based on visual perceptual analysis techniques

Kyle Shih Huang Lo, Chia Hung Yeh*, Wen Jung Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Mobile devices have become an indispensable part of our live. Hence, to increase the battery life of mobile devices has become a crucial research topic to interdisciplinary fields. In this paper, we propose a subjective-visual-perception-based (SVPB) OLED displays dimming technique to reduce the power consumption when displaying videos on mobile devices. First, we extract the motion vectors (MV) from the video's bitstream and transform it into a saliency map. Then, we formulate an SVPB pixel dimming algorithm to obtain how great of pixel's value can be reduced with respect to its intensity of salience, based on the principle of human visual system (HVS). Finally, a subjective experiment is conducted to determine the parameter in the algorithm to ensure the good visual quality. Experimental results show that our method achieved on average 16% of power-saving.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages319-320
Number of pages2
ISBN (Electronic)9781509040179
DOIs
Publication statusPublished - 2017 Jul 25
Event4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 - Taipei, United States
Duration: 2017 Jun 122017 Jun 14

Publication series

Name2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Other

Other4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Country/TerritoryUnited States
CityTaipei
Period2017/06/122017/06/14

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Signal Processing
  • Biomedical Engineering
  • Instrumentation
  • Electrical and Electronic Engineering

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