基于补偿透射率和自适应雾浓度系数的图像复原算法

doi:10.11959/j.issn.1000-436x.2020009

通信学报 ›› 2020, Vol. 41 ›› Issue (1): 66-75.doi: 10.11959/j.issn.1000-436x.2020009

基于补偿透射率和自适应雾浓度系数的图像复原算法

杨燕,王志伟

兰州交通大学电子与信息工程学院，甘肃兰州 730070

修回日期:2019-12-02 出版日期:2020-01-25 发布日期:2020-02-11
作者简介:杨燕（1972- ），女，河南临颍人，博士，兰州交通大学教授、硕士生导师，主要研究方向为数字图像处理、智能信息处理、语音信号处理|王志伟（1996- ），男，甘肃平凉人，兰州交通大学硕士生，主要研究方向为计算机视觉、数字图像处理
基金资助:
国家自然科学基金资助项目(61561030);甘肃省财政厅基本科研业务费基金资助项目(214138);兰州交通大学教改基金资助项目(160012)

Image restoration algorithm based on compensated transmission and adaptive haze concentration coefficient

Yan YANG,Zhiwei WANG

School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China

Revised:2019-12-02 Online:2020-01-25 Published:2020-02-11
Supported by:
The National Natural Science Foundation of China(61561030);Fundamental Research Funds for the Gansu Provincial Finance Department(214138);Research Fund of Teaching Reform Project of Lanzhou Jiaotong University(160012)

摘要/Abstract

摘要：

针对传统暗通道先验易在高亮度区域失真和产生光晕效应的不足，提出一种基于补偿透射率和自适应雾浓度系数的雾天图像复原算法。首先利用高斯函数拟合有雾和无雾图像间的衰减关系，通过修正透射率对高亮区域进行补偿。然后分析雾气特性，提出亮度熵概念，对原图亮通道进行逐像素处理求取熵值，结合高斯金字塔提取纹理特征，得到雾气分布图；同时建立一种线性变换来自适应求取雾浓度系数，并获得优化透射率。最后改进局部大气光的获取方法，结合大气散射模型得到复原结果。实验表明，所提算法可以有效复原出降质图像的颜色与细节，明亮度适宜，去雾程度彻底，效果清晰自然。

关键词: 图像复原, 去雾, 暗通道, 透射率, 大气散射模型

Abstract:

Aiming at the drawbacks of traditional dark channel prior,which was prone to distortion and Halo effects in the bright areas,a haze image restoration algorithm based on compensated transmission and adaptive haze concentration coefficient was proposed.First of all,a Gaussian function was used to fit the attenuation relationship between the haze and haze-free image,and the compensation transmission was set to correct the initial transmission.Then the characteristics of haze was analyzed,the concept of brightness entropy was introduced and the bright channel operation was performed to acquire entropy value with pixel by pixel.Combined with the Gaussian pyramid to extract texture features,the haze distribution map was obtained.An adaptive transformation was established to seek the haze concentration coefficient and get the accurate transmission.Finally,the recovery results were restored by improved atmospheric light value and atmospheric scattering model.Experimental results show that the recovered image has better color and detail,the degree of dehazing is thorough,the brightness is appropriate,and the effect is clear and natural.

Key words: image restoration, dehazing, dark channel prior, transmission, atmospheric scattering model

中图分类号:

TP391.41

杨燕,王志伟. 基于补偿透射率和自适应雾浓度系数的图像复原算法[J]. 通信学报, 2020, 41(1): 66-75.

Yan YANG,Zhiwei WANG. Image restoration algorithm based on compensated transmission and adaptive haze concentration coefficient[J]. Journal on Communications, 2020, 41(1): 66-75.

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参考文献 19

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图像	He算法		Meng算法		Ren算法		Liu算法		本文算法
图像	P	r	p	r	p	r	p	r	p	r
图像1	8.349	1.714	5.377	2.541	17.654	1.523	19.794	1.507	18.581	1.663
图像2	13.114	1.769	22.514	2.659	9.112	1.493	10.891	1.645	20.812	2.014
图像3	6.437	1.375	12.561	1.114	11.117	1.281	15.594	1.681	16.185	1.579
图像4	25.881	1.709	30.019	1.850	18.647	1.349	30.113	2.593	29.011	2.453
图像5	3.745	1.416	3.129	1.569	5.641	1.133	5.634	1.363	6.132	1.647
图像6	8.231	1.715	11.154	1.921	12.858	1.309	13.864	1.609	13.041	2.181
均值	10.959	1.616	14.125	1.942	12.504	1.348	15.981	1.733	17.293	1.922

图像	He算法		Meng算法		Ren算法		Liu算法		本文算法
图像	θ	t	θ	t	θ	t	θ	t	θ	t
图像1	0.000 21	2.59	0.003 75	3.14	0	2.54	0	2.46	0.000 01	2.67
图像2	0.000 33	2.18	0.000 59	3.18	0.006 99	2.16	0.006 42	2.08	0.000 01	2.15
图像3	0	2.14	0.000 03	4.43	0.001 14	2.65	0.001 03	2.75	0	2.41
图像4	0.000 28	2.57	0.000 04	3.49	0	4.12	0	3.98	0	2.23
图像5	0.001 59	2.78	0	4.41	0.011 34	3.79	0.010 14	3.54	0	2.28
图像6	0.001 13	2.64	0	4.40	0.015 73	4.04	0.011 24	3.76	0.000 16	2.19
均值	0.000 59	2.48	0.000 73	3.84	0.005 86	3.21	0.004 81	3.09	0.000 03	2.32

算法	SSIM	PSNR	运行时间/s
He算法	0.754	16.514	2.44
Meng算法	0.735	16.297	3.17
Ren算法	0.792	17.664	2.49
Liu算法	0.792	17.664	2.66
本文算法	0.761	17.671	2.32

基于补偿透射率和自适应雾浓度系数的图像复原算法

Image restoration algorithm based on compensated transmission and adaptive haze concentration coefficient

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