Detail based Backlight Image Detection

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

doi:10.3969/j.issn.1007-7162.2016.06.013

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Detail based Backlight Image Detection

更新时间：2026-05-27

- Detail based Backlight Image Detection
- Vol. 33, Issue 6, Pages: 72-76(2016)
- 作者机构：
- 作者简介：
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- DOI：10.3969/j.issn.1007-7162.2016.06.013
  CLC：
- Published：2016
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钟小芸, 许少秋, 戴知圣. 基于细节的背光图像检测[J]. 广东工业大学学报, 2016, 33(6): 72-76.

Zhong Xiao-yun, Xu Shao-qiu, Dai Zhi-sheng. Detail based Backlight Image Detection[J]. 2016, 33(6): 72-76.
钟小芸, 许少秋, 戴知圣. 基于细节的背光图像检测[J]. 广东工业大学学报, 2016, 33(6): 72-76. DOI： 10.3969/j.issn.1007-7162.2016.06.013.

Zhong Xiao-yun, Xu Shao-qiu, Dai Zhi-sheng. Detail based Backlight Image Detection[J]. 2016, 33(6): 72-76. DOI： 10.3969/j.issn.1007-7162.2016.06.013.

摘要

针对传统的背光图像检测算法低准确率的问题，提出一种基于细节的背光图像检测算法.通过分析图像在不同Gamma取值下细节数目的变化规律来确定输入图像是否是背光图像.实验结果显示，该方法相对于传统的亮度直方图分析方法以及YCrCb直方图分析方法具有更高准确率.

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.

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