摘要： 针对雾天采集图像的退化问题,基于暗通道先验理论,提出一种能够处理视频图像的快速去雾算法。根据视频图像在实时处理系统中的应用,基于现场可编程门阵列(FPGA)硬件平台的特性,对算法进行硬件实现。经过Matlab环境的仿真验证,并在自行设计的FPGA视频图像处理平台上进行实现。实验结果表明,该系统工作稳定有效,能够处理高达60 frame/s的视频图像,有效解决雾霾因素对所采集图像带来的图像退化问题。
Abstract: Aiming at the problem of degradation among foggy images,a fast haze removal algorithm based on the theory of dark channel prior is proposed to deal with video images.According to the application of real-time processing of video images in many occasions,this algorithm is implemented on the hardware platform,based on certain characteristics of Field-programmable Gate Array(FPGA) hardware platform.The algorithm is simulated and verified with Matlab,and is realized on the FPGA hardware platform,which is especially designed for video processing.Experimental results show that this system is stable and effective.It is capable of processing video images up to 60 frames per second.It can effectively solve problems brought by the haze and other factors on the collected image.
dark channel prior,
real-time video images,
fast haze removal,
Field-programmable Gate Array(FPGA),