现代信息科技2024，Vol.8Issue(4)：97-100,4.DOI:10.19850/j.cnki.2096-4706.2024.04.020
顾及图像分割与暗通道先验的去雾霾方法
A Haze Removal Method for Considering the Image Segmentation and Dark Channel Prior
陈鑫 1秦琳 1黄宁辉 1孟先进 1薛亚东1
作者信息
- 1. 广东省林业调查规划院,广东 广州 510520
- 折叠
摘要
Abstract
Aiming at the problem of color distortion in the image after the dark channel prior to removing the haze,a haze removal method for remote sensing image of fusing image segmentation and the dark channel prior rules is proposed in this paper.Firstly,it introduces the gradient operator of the Gaussian weighting matrix to obtain the gradient information of the image,and provides the constraints of image segmentation for the dark channel haze removal.Secondly,the gradient information is divided by gradient threshold,so as to improve the differential processing of different brightness areas.Finally,the dark channel transmittance is modified based on the gradient threshold to constrain the processing results of the dark channel prior and realize the differential processing of different brightness areas.The experimental results show that both subjective visual interpretation and objective indicators have a better processing effect on relatively uniform images containing haze.关键词
去雾霾/图像分割/暗通道先验/梯度算子/影像复原Key words
haze removal/image segmentation/dark channel prior/gradient operator/image restoration分类
信息技术与安全科学引用本文复制引用
陈鑫,秦琳,黄宁辉,孟先进,薛亚东..顾及图像分割与暗通道先验的去雾霾方法[J].现代信息科技,2024,8(4):97-100,4.
