Design of HD Real-time Video Defogging System Based on FPGA

The research in this paper focuses on three main aspects: Improving the dark channel prior defogging algorithm to make it suitable for implementation on FPGA; Designing a high-definition real-time video defogging system capable of supporting a resolution of 1920×1080 and a frame rate of 60 frames per second; Comparing the defogging results of different algorithms qualitatively and quantitatively. This paper optimizes the dark channel prior defogging algorithm by separately calculating the transmission rate for the sky region based on the high grayscale values in the dark channel image, aiming to reduce color deviation in the sky region after defogging. The proposed defogging algorithm demonstrates efficient performance on FPGA, producing vivid and clear defogged videos while maintaining real-time processing capability. This enhancement effectively improves the usability of video equipment in foggy weather conditions.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icicm63644.2024.10814178
Primary Topic
Image and Video Stabilization
Type
article
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Design of HD Real-time Video Defogging System Based on FPGA

Yanliang Li, Xiaobing Huang, Xun Han, Xiaojun Zhang et al.
Image and Video Stabilization
article

Design of HD Real-time Video Defogging System Based on FPGA

Yanliang Li, Xiaobing Huang, Xun Han, Xiaojun Zhang, Biao Sun, Xinchun Wu
article en

Abstract

The research in this paper focuses on three main aspects: Improving the dark channel prior defogging algorithm to make it suitable for implementation on FPGA; Designing a high-definition real-time video defogging system capable of supporting a resolution of 1920×1080 and a frame rate of 60 frames per second; Comparing the defogging results of different algorithms qualitatively and quantitatively. This paper optimizes the dark channel prior defogging algorithm by separately calculating the transmission rate for the sky region based on the high grayscale values in the dark channel image, aiming to reduce color deviation in the sky region after defogging. The proposed defogging algorithm demonstrates efficient performance on FPGA, producing vivid and clear defogged videos while maintaining real-time processing capability. This enhancement effectively improves the usability of video equipment in foggy weather conditions.

Southwest Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Image and Video Stabilization
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