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一种基于色彩校正和光照补偿的沙尘视频快速质量提升方法。

A fast sand-dust video quality improvement method based on color correction and illumination compensation.

作者信息

Ni Dongdong, Xue Yuyang

机构信息

School of Information Management, Xinjiang University of Finance and Economics, Urumqi, 830000, China.

出版信息

Sci Rep. 2025 Feb 27;15(1):7002. doi: 10.1038/s41598-025-88977-3.

DOI:10.1038/s41598-025-88977-3
PMID:40016486
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11868645/
Abstract

Sand-dust weather seriously reduces the effectiveness of computer vision equipment acquisition. To solve this problem, a fast sand-dust video quality improvement method based on color correction and illumination compensation is proposed in this paper. The mapping function strategy designed in the paper has two methods for dealing with sand-dust video frames. The first method has two steps: one is to correct the color cast of sand-dust video frames using a color correction and stretching algorithm, and the other is to use an illumination compensation algorithm to supplement and enhance the missing light to make the frame clearer. The second method uses the mapping functions of each color channel to improve the quality of the sand-dust video frames to be processed to reduce the amount of calculation. The first frame of the video is processed using the first method. Then, the processing method of each frame after the first frame of the video is determined according to its interframe detection value with the buffer frame. The first method is used to improve the quality of frames whose interframe detection values are less than the threshold value, and the second method is used to improve the quality of frames whose interframe detection values are not less than the threshold value until all frames are processed to obtain the sand-dust video with quality improvement. The experimental results are compared with existing relevant methods through qualitative and quantitative comprehensive experiments on sand-dust videos and images. It is proven that our improved frame method has the best visual effect in improving the quality of sand-dust images, and the quantitative evaluation indicators are the best. The mapping function strategy can improve the processing efficiency of videos in the experimental data by an average of 2.08 times compared with the total time of framewise processing.

摘要

沙尘天气严重降低了计算机视觉设备采集的有效性。针对这一问题，本文提出了一种基于色彩校正和光照补偿的快速沙尘视频质量提升方法。本文设计的映射函数策略有两种处理沙尘视频帧的方法。第一种方法有两个步骤：一是使用色彩校正和拉伸算法校正沙尘视频帧的偏色，二是使用光照补偿算法补充和增强缺失的光线以使帧更清晰。第二种方法利用每个颜色通道的映射函数来提升待处理沙尘视频帧的质量以减少计算量。视频的第一帧使用第一种方法进行处理。然后，根据视频第一帧之后每一帧与缓冲帧的帧间检测值来确定其处理方法。对于帧间检测值小于阈值的帧，使用第一种方法提升其质量；对于帧间检测值不小于阈值的帧，使用第二种方法提升其质量，直到所有帧都被处理以得到质量提升的沙尘视频。通过对沙尘视频和图像进行定性和定量的综合实验，将实验结果与现有的相关方法进行比较。结果表明，我们改进的帧方法在提升沙尘图像质量方面具有最佳的视觉效果，并且定量评估指标也是最优的。与逐帧处理的总时间相比，映射函数策略在实验数据中可将视频的处理效率平均提高2.08倍。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3727/11868645/bf96b2a74d5b/41598_2025_88977_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3727/11868645/07c367f77360/41598_2025_88977_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3727/11868645/7b07fb02ecfc/41598_2025_88977_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3727/11868645/2851a871b80d/41598_2025_88977_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3727/11868645/ddbf508f556b/41598_2025_88977_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3727/11868645/7a07ce43750e/41598_2025_88977_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3727/11868645/30e959ecea12/41598_2025_88977_Fig13_HTML.jpg
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