Automatic brightness control of the handheld device display with low illumination

Tien Yan Ma, Chin Yang Lin, Shu Wei Hsu, Che Wei Hu, Ting Wei Hou

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

20 Citations (Scopus)

Abstract

The automatic brightness control is a common functionality on the smartphone. Either Android phones or iPhones enable this capability by using the light sensor which located on the front panel. Unfortunately, the automatic brightness control is unsatisfactory on these two types of smartphones where the user always struggles with the brightness setup to adapt to the ambient light with various intensities. In this paper, a novel automatic brightness control method which is suitable for low illumination is proposed. We take advantage of the front panel camera on the smartphone and face detection technics to capture the image of user's face and background. With low ambient brightness, the proposed scheme calculates the contrast ratio between user's face and background to determine the optimum screen brightness.

Original languageEnglish
Title of host publicationCSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering
Pages382-385
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012 - Zhangjiajie, China
Duration: 2012 May 252012 May 27

Publication series

NameCSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering
Volume2

Other

Other2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012
Country/TerritoryChina
CityZhangjiajie
Period12-05-2512-05-27

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Automatic brightness control of the handheld device display with low illumination'. Together they form a unique fingerprint.

Cite this