标准化变换在视频隐形图像重现中的应用

Application of Normalized Transformation in Invisible Video Image Reproduction

摘要:

针对低照度环境下,网络监控视频图像由于对比度低、灰度信息少,视频图像存在隐形问题,提出了一种基于人类视觉系统感知的标准化变换算法,并嵌入基于ARM平台的视频网络监控中。实验结果表明,与其他图像增强算法对比,该算法有效地提高了视频图像对比度分辨率,重现隐形图像,取得了较好的整体视觉效果,而且满足网络监控的时实性要求。

Abstract:

Under low-level-light, the invisible video images of network monitoring present the problems of low contrast and less gray information, so a method of normalized transformation is proposed based on human visual, which is inserted into the video network monitoring system based on ARM. Compared with other image enhancement methods, this algorithm can efficiently improve the contrast resolution of the image and reproduce the invisible video images, obtaining clearer and better visual effect. Meanwhile, this algorithm can meet the demand of real-time network monitoring.