计算机工程

• 图形图像处理 • 上一篇    下一篇

基于HLS的实时图像去雾实现

齐乐,张小刚,姚航   

  1. (湖南大学电气与信息工程学院,长沙 410082)
  • 收稿日期:2015-04-24 出版日期:2016-05-15 发布日期:2016-05-13
  • 作者简介:齐乐(1990-),男,硕士研究生,主研方向为图像处理、模式识别、嵌入式系统;张小刚,教授、博士;姚航,硕士研究生。
  • 基金项目:
    国家自然科学基金资助项目(61174050)。

Real-time Image Dehazing Realization Based on HLS

QI Le,ZHANG Xiaogang,YAO Hang   

  1. (School of Electrical and Information Engingeering,Hunan University,Changsha 410082,China)
  • Received:2015-04-24 Online:2016-05-15 Published:2016-05-13

摘要: 户外图像或视频受到大气中烟雾的影响,存在模糊不清及颜色偏移等问题,在很大程度上影响户外视频系统正常稳定工作。现有的去雾算法计算复杂度较高,仅依靠软件对视频级进行去雾有一定难度。针对这一现状,分析暗原色先验去雾算法的计算瓶颈,利用高级层次综合(HLS)工具实现去雾算法的硬件化,使用流水线技术将去雾算法运行在现场可编程门阵列上。实验结果表明,在保证去雾质量的前提下,对于1080P的实时场景,可以达到每秒45帧以上的处理速度,基本满足高清视频去雾的需求。

关键词: 暗通道, 去雾, 视频, 现场可编程门阵列, 实时, 高级层次综合工具

Abstract: Outdoor image or video often suffers from blurring and color deviation due to the atmospheric haze.This has a bad impact on the stability of outdoor video system.Because of high computational complexity of existing dehazing algorithms,it is difficult to achieve video dehazing by only relying on software.Aiming at the present situation,this paper analyses the computing bottleneck of dark channel prior dehazing algorithm,and uses High Level Synthesis(HLS) tool for the hardware of dehazing algorithm.The dehazing algorithm runs on a Field Programmable Gate Array(FPGA) using pipelining technique.Experimental results show that,for 1080P real-time scene,under the premise of ensuring the quality of dehazing,the processing speed can reach above 45 frames per second,fully meeting the needs of processing high-definition video.

Key words: dark channel, dehazing, video, Field Programmable Gate Array(FPGA), real-time, High Level Synthesis(HLS) tool

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