基于偏振特性的雾霾降质图像融合复原方法-《集美大学学报（自然科学版）》

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Title:: Image Fusion Restoration Algorithm Based on Polarization Characteristics of Haze

作者:: 彭文竹1 ; 王钦1; 吴亚建1; 张禹2; （1.集美大学诚毅学院，福建厦门 361021；2.福建江夏学院电子信息科学学院，福建福州 350108）

Author(s):: PENG Wenzhu1; WANG Qin1; WU Yajian1; ZHANG Yu2; (1.Chengyi University College,Jimei University,Xiamen 361021,China;2.Electronic and Information Science College,Fujian Jiangxia University,Fuzhou 350108,China)

关键词:: 偏振光; 图像融合; 正态分布; 深度图; 维纳滤波

Keywords:: polarized light; image fusion; normal distribution; depth map; wiener filtering

分类号:: -

DOI:: -

文献标志码:: A

摘要:: 在大气散射理论模型的基础上，分析了利用图像的偏振信息复原雾天图像的方法。根据图像偏振信息的复原算法原理，研究了偏振特性的图像配准融合方法，并在此基础上采用搜索最佳正态分布算法及自适应二维维纳滤波方法对模型参数的大气光和环境光深度图进行估算，从而根据偏振图像复原方程达到复原清晰景物图像的目的。在MATLAB仿真平台进行图像复原测试，并进行主客观评价分析，结果表明该方法可以取得较好的图像复原效果。

Abstract:: This paper analyzes the fog and haze days degraded image restoration method by polarization properties of light based on atmospheric scattering model.The principle of image registration and fusion is considered in depth,and a different image fusion method based on the polarization characteristics of fog is proposed according to the principle of polarization image fusion.To achieve a clear image from the fog degraded image,the parameters of atmospheric light and ambient lights depth map are estimated by using the optimal normal distribution algorithm and adaptive wiener filtering.The results show that,the proposed method in this paper can bring about better image restoration effect through the MATLAB simulation platform and analyze the experiments by subjective and objective evaluation.

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[1]陈杰,茅剑,张杰敏.一种基于形态分量的多聚焦图像融合算法[J].集美大学学报(自然科学版),2019,24(1):68.
　CHEN Jie,MAO Jian,ZHANG Jiemin.A Novel Algorithm for Multi-fosus Image Fusion Based on Morphological Component[J].Journal of Jimei University,2019,24(3):68.

《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

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