摘要
利用光的偏振特性,即不同偏振图像的相关性和信息上的互补性,提出一种基于薄雾偏振特性的图像融合方法,可以将两幅不同偏振方向的薄雾图像融合在一起,从而有效地去除薄雾,得到更加清晰的景物图像.实验结果表明,该方法具有较好的去除薄雾效果.
This paper researches the theoretical basis for removing haze by using polarization properties of light and proposes the image fusion method based on the theoretical.Meanwhile,we optimize this algorithm.By using polarization properties of light,which means using the information of the polarization-based images′ correlation in time and space and complementary with each other,we can get a clearer image compared to the original polarization-based images which are captured from the same place and different polarization angles.The results of the experiments prove that the algorithm has a good robustness and the clarity of the image fused is increased significantly.
出处
《厦门大学学报（自然科学版）》
CAS
CSCD
北大核心
2011年第3期520-524,共5页
Journal of Xiamen University：Natural Science
基金
福建省自然科学基金项目(2009J01301
2009J05087)
关键词
偏振光
图像配准
图像融合
polarized light
image registration
image fusion
作者简介
通信作者：zxl1@xmu．edu．cn
