计算机工程

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基于FPGA的快速视频图像去雾算法及硬件实现

周晓波,刘桑   

  1. (北京交通大学 电子信息工程学院,北京 100044)
  • 收稿日期:2015-04-02 出版日期:2016-06-15 发布日期:2016-06-15
  • 作者简介:周晓波(1973-),男,副教授、博士,主研方向为图像处理、专用集成电路设计;刘桑,硕士。
  • 基金项目:
    中央高校基本科研业务费专项基金资助项目(2013JBM010)。

Fast Video Image Haze Removal Algorithm and Hardware Implementation Based on FPGA

ZHOU Xiaobo,LIU Sang   

  1. (School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044,China)
  • Received:2015-04-02 Online:2016-06-15 Published:2016-06-15

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。

关键词: 暗通道先验, 实时视频图像, 快速去雾, 现场可编程门阵列, 硬件系统

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.

Key words: dark channel prior, real-time video images, fast haze removal, Field-programmable Gate Array(FPGA), hardware system

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