App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 6

Fpga implementation of improved algorithm for FAST video de-fogging

Pang Yu1
Wu Tianci1
Wang Yuanfa1
Jia Meiping2
Zhou Qianneng1
1. Photoelectric information sensing & information transmission Laboratory, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
2. Chongqing Southwest Integrated Circuit Design Co. , Ltd, Chongqing 401332, China
DOI: 10.19734/j.issn.1001-3695.2023.09.0436

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 defogging 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, improvements were made to the dark channel prior algorithm to reduce hardware resource consumption and time complexity. The improved algorithm selects suitable atmospheric light intensity estimation values, transmittance compensation values for hardware, and uses a pipeline structure to achieve the processing of foggy images. The hardware circuit of the algorithm is implemented using Xilinx's ZYNQ7020, with a real-time processing resolution of 640×480 video images, with a speed of up to 260f/s, consume only 1.28K 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.

Foundation Support

重庆市自然科学基金资助项目(cstc2021jcyj-msxmX0590)
重庆市技术创新与应用发展专项重点项目(cstc2021jscx-gksbX0038)
重庆教委科学技术研究计划项目(KJQN202300637)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.09.0436
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 6

Publish History

[2023-12-18] Accepted Paper

Cite This Article

庞宇, 吴天次, 王元发, 等. 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). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.09.0436. (Pang Yu, Wu Tianci, Wang Yuanfa, et al. Fpga implementation of improved algorithm for FAST video de-fogging [J]. Application Research of Computers, 2024, 41 (6). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.09.0436. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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