基于四阶偏微分方程图像复原去雾方法

›› 2016, Vol. 29 ›› Issue (2): 62-.

基于四阶偏微分方程图像复原去雾方法

李桂林,王创新,万志银

(长沙理工大学电气与信息工程学院,湖南长沙 410114)

出版日期:2016-02-15 发布日期:2016-02-25
作者简介:李桂林(1989—),女,硕士研究生。研究方向:图像处理。万志银(1991—),女,硕士研究生。研究方向:图像处理。

Defogging Image Restoration Based on Four Order Partial Differential Equation

LI Guilin,WANG Chuangxin,WAN Zhiyin

(School of Electrical and Information Engineering,Changsha University of Science and Technology,Changsha 410114,China)

Online:2016-02-15 Published:2016-02-25

摘要/Abstract

摘要：

雾天拍摄的图像出现对比度下降,色彩出现大量的灰白色。为了有效去除图像中的雾气,提出了根据雾天图像衰减模型和大气光模型建立了图像退化模型,利用模型场景景深与图像梯度构建能量泛函,以及利用四阶偏微分方程及部分已知信息求取能量泛函最小值,去雾算法实现采用四阶偏微分方程有限差分数值法。实验结果表明,该方法图像去雾效果较好,体现了该模型在图像复原上的优越性。

关键词: 衰减模型, 大气光模型, 退化模型, 能量泛函, 四阶偏微分方程

Abstract:

The fog image contrast is reduced with may gray areas.In order to effectively remove the image of the mist and the effect of image in the vision.An image degradation model is built based on the fog image attenuation model and atmospheric optical model.The energy functions are constructed using the scene depth and image gradient,and the energy function minimum calculated using the four order partial differential equation and some known information.The fog image restoration algorithm is achieved with the four order partial differential equation by finite difference numerical method.The experimental results that better image defogging effect.

Key words: atmospheric attenuation model;optical model;degradation model;energy function;four order partial differential equation

中图分类号:

TP391.41

李桂林,王创新,万志银. 基于四阶偏微分方程图像复原去雾方法[J]. , 2016, 29(2): 62-.

LI Guilin,WANG Chuangxin,WAN Zhiyin. Defogging Image Restoration Based on Four Order Partial Differential Equation[J]. , 2016, 29(2): 62-.