计算机应用研究2024，Vol.41Issue(6)：1803-1807,5.DOI:10.19734/j.issn.1001-3695.2023.09.0436
快速视频去雾改进算法的FPGA实现
FPGA implementation of improved algorithm for fast video de-fogging
摘要
Abstract
The endoscopic defogging algorithm has a wide range of applications in the medical field,providing clear and real-time images for clinical doctors.Although significant progress has been made in defogging technology,the complexity of defog-ging algorithms is relatively high,making hardware implementation difficult in complex situations such as endoscopes.In order to achieve real-time defogging of endoscopes on hardware,this paper improved the dark channel prior algorithm to reduce hardware resource consumption and time complexity.The improved algorithm selected suitable atmospheric light intensity estimation val-ues,transmittance compensation values for hardware,and used a pipeline structure to achieve the processing of foggy images.The hardware circuit of the algorithm was implemented using Xilinx's ZYNQ7020,with a real-time processing resolution of 640×480 video images,with a speed of up to 260 fps,consume only 1.28 K LUT,and consume 619 registers.The experimental results show that compared to traditional algorithms,the improved algorithm has the characteristics of fast processing speed,low power consumption,and strong portability,meeting the requirements of real-time video processing for endoscopes.关键词
内窥镜/视频去雾/暗通道先验/FPGA/实时处理Key words
endoscope/video defogging/dark channel prior/FPGA/real-time processing分类
信息技术与安全科学引用本文复制引用
庞宇,吴天次,王元发,贾美平,周前能..快速视频去雾改进算法的FPGA实现[J].计算机应用研究,2024,41(6):1803-1807,5.基金项目
重庆市自然科学基金资助项目(cstc2021jcyj-msxmX0590) （cstc2021jcyj-msxmX0590）
重庆市技术创新与应用发展专项重点项目(cstc2021jscx-gksbX0038) （cstc2021jscx-gksbX0038）
重庆教委科学技术研究计划资助项目(KJQN202300637) （KJQN202300637）
