现代电子技术2024，Vol.47Issue(23)：43-48,6.DOI:10.16652/j.issn.1004-373x.2024.23.007
基于改进大气散射模型的图像去雾算法
Image dehazing algorithm based on improved atmospheric scattering model
闫文强 1崔蕾1
作者信息
- 1. 上海第二工业大学 智能制造与控制工程学院,上海 201209
- 折叠
摘要
Abstract
Low visibility,poor contrast and detail information missing will occur to the images due to rainy and foggy weather,so it is difficult to obtain a clear image.In view of this,a robust image dehazing algorithm is proposed.The input image is converted into a detailed image,and then the detailed image is attenuated and the three color channels are redefined.According to the principle of minimum color loss,the color is compensated and the differences among the three color channels are minimized.The image darkening is eliminated by the enhanced atmospheric scattering model(EASM)and dark channel prior(DCP)algorithm.The dehazing results are obvious,with bright colors and clear details.Comparison experiments are performed on natural image dataset and synthetic image dataset and ablation experiments are designed.The results show that the proposed algorithm outperforms the latest dehazing algorithms in terms of information entropy,FADE,NIQE(natural image quality evaluator)and SSIM(structural similarity index measure).Therefore,the proposed algorithm has high robustness and broaden application prospects.关键词
图像处理/图像去雾/大气散射模型/颜色校正/灰色世界假设/细节增强/光照补偿/对比度增强Key words
image processing/image dehazing/ASM/color correction/gray world assumption/detail enhancement/illumination compensation/contrast enhancement分类
电子信息工程引用本文复制引用
闫文强,崔蕾..基于改进大气散射模型的图像去雾算法[J].现代电子技术,2024,47(23):43-48,6.
