激光与光电子学进展, 2020, 57 (22): 221009, 网络出版: 2020-11-05   

基于大气光偏振层析的雾天图像重构方法 下载: 967次

Method of Haze Image Reconstruction Based on PolarizationLayering and Analysis of Airlight
作者单位
1 合肥工业大学计算机与信息学院, 安徽 合肥 230601
2 安徽建筑大学电子与信息工程学院, 安徽 合肥 230601
摘要
为了提高偏振去雾方法对大气光估计的准确度,提出一种基于大气光偏振层析的雾天图像重构方法。在偏振空间下,将大气光梯度先验信息作为约束条件,对原始雾天偏振图像进行分层,估计大气光偏振图像;然后从大气光偏振图像中解析大气光,实现对大气光的偏振层析;最后,结合所提雾天图像偏振重构模型,并在大气光图像中估计无穷远处大气光,实现对雾天图像的去雾重构。实验结果表明,所提方法提高了大气光估计的准确度,进而使重构图像更清晰、目标还原度更高,且适用于不同浓度下的雾天图像重构。
Abstract
To improve the accuracy of airlight estimation in polarization dehazing methods, a method for haze image reconstruction based on polarization layering and analysis of airlight is proposed. In the polarization space, the gradient prior information of the airlight is used as a constraint condition, and the original polarized hazy image is layered to estimate the polarized image of the airlight. This allows the analysis of the airlight from the polarized images, and the polarization layering and analysis of the airlight can be realized. Finally, by combining the proposed polarization reconstruction model of haze images and the estimation of atmospheric light at infinity in airlight images, a clear haze-free image is reconstructed. The experimental results show that the proposed method improves the accuracy of airlight estimation, provides a clearer reconstructed image, and provides a higher target restoration degree. The proposed method is suitable for haze image reconstruction under different concentrations.

邵子奇, 金海红, 钱立进, 范之国. 基于大气光偏振层析的雾天图像重构方法[J]. 激光与光电子学进展, 2020, 57(22): 221009. Ziqi Shao, Haihong Jin, Lijin Qian, Zhiguo Fan. Method of Haze Image Reconstruction Based on PolarizationLayering and Analysis of Airlight[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221009.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!