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The decline in image quality fails to satisfy the requirements of application scenarios such as video surveillance, satellite reconnaissance, and target tracking. Aiming at the shortcomings of the traditional dark channel prior algorithm in video defogging, this paper proposes a method to improve the guided filtering algorithm to refine the transmittance image and reduce the halo effect in the traditional algorithm. Meanwhile, a gamma correction method is proposed to recover the defogged image and enhance the image details in a low-light environment. The parallel symmetric pipeline design of the FPGA is used to improve the system\u2019s overall stability. The improved dark channel prior algorithm is realized through the hardware\u2013software co-design of ARM and the FPGA. Experiments show that this algorithm improves the Underwater Image Quality Measure (UIQM), Average Gradient (AG), and Information Entropy (IE) of the image, while the system is capable of stably processing video images with a resolution of 1280 \u00d7 720 @ 60 fps. By numerically analyzing the power consumption and resource usage at the board level, the power consumption on the FPGA is only 2.242 W, which puts the hardware circuit design in the category of low power consumption.<\/jats:p>","DOI":"10.3390\/sym17060839","type":"journal-article","created":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T04:46:38Z","timestamp":1748493998000},"page":"839","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["An Improved Dark Channel Prior Method for Video Defogging and Its FPGA Implementation"],"prefix":"10.3390","volume":"17","author":[{"given":"Lin","family":"Wang","sequence":"first","affiliation":[{"name":"School of Automation and Information Engineering, Sichuan University of Science and Engineering, Yibin 644000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1767-1831","authenticated-orcid":false,"given":"Zhongqiang","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Automation and Information Engineering, Sichuan University of Science and Engineering, Yibin 644000, China"},{"name":"Intelligent Perception and Control Key Laboratory of Sichuan Province, Yibin 644000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Automation and Information Engineering, Sichuan University of Science and Engineering, Yibin 644000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s11554-024-01432-w","article-title":"A real-time framework for HD video defogging using modified dark channel prior","volume":"21","author":"Wu","year":"2024","journal-title":"J. Real-Time Image Process."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"110228","DOI":"10.1016\/j.compeleceng.2025.110228","article-title":"Underwater image restoration via multiscale optical attenuation compensation and adaptive dark channel dehazing","volume":"123","author":"Liu","year":"2025","journal-title":"Comput. Electr. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1007\/s10462-024-11034-4","article-title":"Comprehensive review of single image defogging techniques: Enhancement, prior, and learning based approaches","volume":"58","author":"Pandey","year":"2025","journal-title":"Artif. Intell. Rev."},{"key":"ref_4","first-page":"2341","article-title":"Single image haze removal using dark channel prior","volume":"33","author":"He","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Zhang, T. (2024, January 27\u201329). 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[Master\u2019s Thesis, China University of Mining and Technology]."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/17\/6\/839\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:41:39Z","timestamp":1760031699000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/17\/6\/839"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,27]]},"references-count":30,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2025,6]]}},"alternative-id":["sym17060839"],"URL":"https:\/\/doi.org\/10.3390\/sym17060839","relation":{},"ISSN":["2073-8994"],"issn-type":[{"value":"2073-8994","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,27]]}}}