雾天道路监控系统视频图像增强算法的比较研究

A Comparative Study on Fog Image Enhancement Algorithm for Intelligent Video Surveillance

随着平安城市的逐步推进,以智能视频监控为主流的图像增强技术出现了供应上的短缺。因此,研究降质图像的增强算法具有重要的科研价值和经济价值。对目前常用的雾天图像增强算法,如直方图均衡化算法、多尺度Retinex算法及暗通道优先算法,对其进行运行效率和算法效果的比较,并采用MATLAB分别实现3种算法处理后图片的查看和提取。实验表明,暗通道优先算法能够清晰地还原图像,但处理时间较长。最后对暗通道优先算法的进一步完善提出了研究方向。

With the gradual advance of green ci ty, the supply of image enhancement technology for intel l igent video surveillance is inadequate to meet the demand. So the research of degraded image enhancement algorithm has im-portant research value and economic value. This article analyzes frequently - used fog image enhancement algorithm such as the histogram equalization algorithm, multi - scale Retinex and the dark channel priority algorithm, and compares the results and eff iciency of these three fog image processing algorithms. And then with the help of Matlab software, we view the final results of the three algorithmsr output. Experiments show that the dark channel priority algorithm can restore image clearly, but it costs much time. Lastly, we put forward further research direct ion about the dark channel priority algorithm.