Multi-region Power Consumption Optimization of AMOLED Display Based on Visual Saliency
Author:
Affiliation:

Clc Number:

Fund Project:

National Natural Science Foundation of China (61802162, 61602231); Outstanding Talents of Scientific and Technological Innovation in Henan (184200510011); Training Plan for Young Backbone Teachers of Colleges and Universities in Henan (2017GGJS134); the Science and Technology Key Project of Henan Province (202102210370)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    As a high energy consumption component of embedded devices, the power consumption of AMOLED displays is determined by the pixel value of all pixels of the displayed content. And human visual system gives priority to the important regions of the display content, while pays less attention to the unimportant region. Based on the above features, a power optimization method is proposed for AMOLED display based on multi-region visual saliency. The core of the method is to extract the important region of the display content by the multi-region visual saliency algorithm, and then the display content is divided into multiple regions according to saliency map of important region of the image. At last, the dynamic pixel adjustment is carried out based on the visual attention level, which minimizes the display power without reducing the overall visual effect of the display content. Finally, through a number of image testing, the results show that the power consumption of image can be reduced while maintaining a good visual effect.

    Reference
    Related
    Cited by
Get Citation

李德光,郭兵,张瑞玲,马友忠,任祯琴,赵旭鸽,谭庆,李君科.基于视觉显著性的AMOLED显示器多区域功耗优化.软件学报,2020,31(9):2741-2755

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:June 30,2019
  • Revised:August 18,2019
  • Adopted:
  • Online: January 17,2020
  • Published: September 06,2020
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063