基于正交偏振方向的多幅图像复原新方法

彭文竹; 张禹; 王钦; 吴亚建

doi:10.3788/YJYXS20173210.0835

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基于正交偏振方向的多幅图像复原新方法

图像处理 | 更新时间：2020-08-12

- 基于正交偏振方向的多幅图像复原新方法
- New method of multiple image restoration based on orthogonal polarization direction
- 液晶与显示 2017年32卷第10期页码：835-845
- 作者机构：
  
  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
- 作者简介：
  
  [ "彭文竹(1982-), 男, 福建泉州人, 实验师, 硕士, 主要从事电子信息类专业实验教学及图像处理研究。E-mail:86800347@qq.com" ]
- 基金信息：
  
  福建省自然科学基金项目资助(2017J01733);福建省教育厅中青年教师教育科研科技类基金项目资助(JAT160693);集美大学诚毅学院教育教学改革项目资助(C16067);Natural Science Foundation of Fujian Province(2017J01733);Euducation and Teaching Reform Project of Chengyi College;Jimei University(C16067)
- DOI：10.3788/YJYXS20173210.0835
  中图分类号： TP391
- 收稿日期：2017-04-17，
  
  录用日期：2017-6-9，
  
  纸质出版日期：2017-10-05
- 稿件说明：
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彭文竹, 张禹, 王钦, 等. 基于正交偏振方向的多幅图像复原新方法[J]. 液晶与显示, 2017,32(10):835-845.

Wen-zhu PENG, Yu ZHANG, Qin WANG, et al. New method of multiple image restoration based on orthogonal polarization direction[J]. Chinese journal of liquid crystals and displays, 2017, 32(10): 835-845.
彭文竹, 张禹, 王钦, 等. 基于正交偏振方向的多幅图像复原新方法[J]. 液晶与显示, 2017,32(10):835-845. DOI： 10.3788/YJYXS20173210.0835.

Wen-zhu PENG, Yu ZHANG, Qin WANG, et al. New method of multiple image restoration based on orthogonal polarization direction[J]. Chinese journal of liquid crystals and displays, 2017, 32(10): 835-845. DOI： 10.3788/YJYXS20173210.0835.

摘要

本文根据大气场景成像过程中的偏振效应原理，建立偏振成像方程，提出一种基于两幅偏振化方向互相垂直的图像复原新方法。该方法从多幅偏振图像复原原理出发，结合大气散射物理模型推导出新的偏振图像复原方程；采用双边滤波原理估算偏振图像大气耗散函数；结合图像评价指标自适应调整大气耗散函数，寻找最佳雾浓度分布；选取合适参数调整方法解决含有大面积天空区域雾霾图像复原所产生的晕轮效应。对采用传感器和KENKO CPL67MM偏振滤镜所获取的偏振图像进行大量实验测试，并和当前较具代表性的单幅图像复原方法进行比较分析。结果表明，本文的多幅偏振图像复原方法取得了更好的图像复原效果。

Abstract

According to the principle of polarization effect in the process of atmospheric scene imaging

the polarization imaging equation is established

and a new image restoration method based on the two polarization directions is proposed. A new polarization image restoration equation is derived by combining the atmospheric scattering physical model based on the principle of multiple polarization image restoration. First

the method uses bilateral filtering to estimate the atmospheric veil by the polarization image

and adaptively adjust it according to the image evaluation index. Finally

we restore the original clear image of polarization image combining the image matching and fusion restoration equation and select the appropriate parameter adjustment method to solve the large sky area containing the halo effect caused by haze image restoration. The experimental results by the polarization images obtained by the sensor and the KENKO CPL67MM polarizing filter were compared with those of the representative single image restoration methods. The results show that the algorithm can effectively recover the fog image and automatically adjust the parameters because the restoration information is more abundant.

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