光学精密工程2023，Vol.31Issue(23)：3474-3481,8.DOI:10.37188/OPE.20233123.3474
基于暗通道先验原理的偏振图像去雾
Polarization image defogging based on dark channel prior principle
摘要
Abstract
In hazy weather,the image quality is decreased owing to the scattering effect of atmospheric particles on light,which can affect target detection and key information extraction.In response to the shortcomings of current polarization defogging algorithms,this study proposes a defogging method based on polarization dark channel.First,polarization information is calculated through the polarized light inten-sity of four different angles,to obtain the polarized light intensity of any angle.Thereafter,based on the dark channel prior principle,the dark channel of the polarized image is defined.The atmospheric light in-tensity at infinity is obtained,and the atmospheric transmission rate is calculated.Finally,the atmospheric scattering model is constructed to obtain a defogging image.The experimental results demonstrate that the evaluation indicators of grayscale variance,average gradient,and image entropy of the defogged image processed by this method are significantly improved compared to those of the original image.The gray-scale variance,average gradient,and image entropy are increased by 25%,30%,and 5%,respectively.This method can effectively improve the quality and clarity of images in hazy weather and enrich image de-tails.关键词
偏振图像/图像去雾/暗通道/先验原理Key words
polarization image/image defogging/dark channel/prior principle分类
计算机与自动化引用本文复制引用
王楚宁,赵开春..基于暗通道先验原理的偏振图像去雾[J].光学精密工程,2023,31(23):3474-3481,8.基金项目
教育部联合基金资助项目(No.6141A02022606) （No.6141A02022606）
