红外与毫米波学报2022，Vol.41Issue(5)：930-940,11.DOI:10.11972/j.issn.1001-9014.2022.05.018
基于分层细分超像素和信息完整性先验的红外图像去雾
Infrared image dehazing based on hierarchical subdivision superpixels and information integrity prior
摘要
Abstract
Hazy weather degrades the contrast and visual quality of infrared imaging systems due to the presence of suspended particles. Most existing dehazing methods focus on enhancing global contrast or exploit a local grid transmission estimation strategy on images,which may lead to loss of information,halo artifacts and distortion in sky region. To address these problems,a novel single image dehazing model based on superpixel structure decom? position and information integrity protection is proposed. In this model,based on the local structure information, the image is first adaptively divided into multiple objective regions using a hierarchical superpixel algorithm to eliminate halo artifacts. Meanwhile,to avoid the error estimate caused by the local highlighted targets,a modi? fied quadtree subdivision based on superpixel blocks is applied to obtain the global atmospheric light. Further? more,a combined constraint is used to optimize the transmission map by minimizing the loss of information. Compared with state-of-the-art methods in terms of qualitative and quantitative analysis,experiments on real- world hazy infrared images demonstrate the efficacy of the proposed method in both contrast and visibility.关键词
红外图像去雾/物理模型重建/超像素分割/联合约束/可见性增强Key words
infrared image dehazing/physical model restoration/superpixels segmentation/combined constraint/enhance visibility分类
信息技术与安全科学引用本文复制引用
李伟华,李范鸣,苗壮,谭畅,穆靖..基于分层细分超像素和信息完整性先验的红外图像去雾[J].红外与毫米波学报,2022,41(5):930-940,11.基金项目
Supported by Shanghai Key Laboratory of Criminal Scene Evidence funded Foundation(2017xcwzk08) （2017xcwzk08）
