基于细节的背光图像检测

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。%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 an-alyzed 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 .