利用偏振分析的雾天图像复原  

Image haze removal using polarization analysis

作　　者：方帅[1] 夏秀山[1] 赵育坤 于磊[1] 

机构地区：[1]合肥工业大学计算机与信息学院,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2015年第4期468-473,共6页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(61175033);中央高校基本科研业务费专项资金资助项目(WK2100100009;2012HGCX0001)

摘　　要：文章提出了新的雾天偏振成像模型,在模型中同时考虑目标反射光和大气散射光的偏振效应。首先合成偏振差分图,然后利用去相关的算法估计目标反射光的偏振度图,最后利用去雾模型得到清晰的雾天图像。与相关算法的实验结果进行定性和定量的比较,证明了该算法的有效性。此外,该算法求取的反映场景目标偏振信息的偏振度图可被用于场景分割、目标识别等领域。In this paper,a new polarization hazy imaging model is presented,which considers the polarization of the airlight and the object radiance jointly.Firstly,the polarization-difference image is synthesized.Then the polarization of object is separated by a decorrelation-based method.Finally,the haze-free image is effectively recovered based on the new polarization imaging model.The qualitative and quantitative experimental results verify the effectiveness of the proposed dehazing method.The method also provides additional polarization properties of the objects in the scene,which can be used in further applications,such as scene segmentation and object recognition.

关 键 词：偏振成像 图像去雾 去相关 偏振度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]