Journal of Guangdong University of Technology ›› 2016, Vol. 33 ›› Issue (06): 72-76.doi: 10.3969/j.issn.1007-7162.2016.06.013

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Detail based Backlight Image Detection

Zhong Xiao-yun,Xu Shao-qiu,Dai Zhi-sheng   

  1. School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2015-08-10 Online:2016-11-18 Published:2016-11-18

Abstract:

 The previous backlight image detection algorithms such as intensity histogram-based method and the YCrCb histogram-based method are low in accuracy rate. A backlight image detection algorithm based on details is presented. The change of the number of details under various Gamma correction is analyzed for the determination of backlight images. The experimental results show that the proposed method outperforms the intensity histogram-based method and the YCrCb histogram-based method.

Key words: backlight detection; image details; Gamma correction

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