摘要
传统视频监控主要是回放原始视频,难以兼顾到夜间模式的监控,现有夜视监控系统其核心技术是依靠红外技术或像增强技术来改善夜间图像质量。在高性能DSP平台上建立了视频采集与显示系统,嵌入Zadeh-X变换算法来实现视频图像的底层图像挖掘,并且根据信息熵判据来自动寻求最佳挖掘参数θ和δ以达到实时挖掘的目的。试验结果表明,视觉效果显著提高,增强了夜间实时监控中视频图像的质量。
Traditional video monitoring mainly depends on playing back the original video, and takes no account of the night monitoring. Current night-vision monitor systems essentially apply infrared （IR） technology and image-enhanced technology to improve the quality of nightvision images. A video capture and display system is built on the platform of the High- performance DSP, and the lower video image mining is accomplished by embedding the Zadeh-X transform algorithm and the best mining parameters（sita and delta） are obtained automatically based on comentropy to achieve real-time mining. The results show that the images undistinguishable to human vision are reproduced and both the visual effects and the quality of the images in night real-time monitoring video are significantly improved.
出处
《半导体光电》
CAS
CSCD
北大核心
2009年第4期618-621,共4页
Semiconductor Optoelectronics
基金
国家自然科学基金资助项目(30670536)
