现场可编程门阵列
计算机科学
嵌入式系统
实时计算
计算机硬件
计算机图形学(图像)
作者
Xinchun Wu,Yanliang Li,Xun Han,Xiaojun Zhang,Xiaobing Huang,Biao Sun
标识
DOI:10.1109/icicm63644.2024.10814178
摘要
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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