关键词: 背光图像检测, 背光图像校正, Gamma变换, 多尺度Retinex, 图像融合

Abstract: This paper proposes a new backlight image detection and correction algorithm. The change of the number of foreground details under various Gamma correction is analyzed for the determination of backlight image multi-scale Retinex algorithm is performed on the background and the foreground of the backlight image. The outputs are fused with the original image. The experimental results show that the proposed backlight image detection algorithm outperforms the intensity histogram based method and the YCbCr histogram based method, the proposed backlight image correction algorithm has higher information entropy, definition and contrast than the AHMHE backlight image compensation algorithm and multi-scale Retinex algorithm.

Key words: backlight image detection, backlight image correction, Gamma correction, multi-scale Retinex, image fusion