基于雾线和颜色衰减先验的图像去雾方法

doi:10.11959/j.issn.1000-436x.2023013

Abstract

Abstract:

To solve the problems caused by the existing image dehazing methods, such as color over-saturation, detail loss, and artifacts, a dehazing method was proposed based on haze-line and color attenuation prior.Firstly, haze-line prior and Hough vote were used to estimate the atmospheric light.Then, a nonlinear model on scene depth was constructed according to color attenuation prior theory to achieve transmission accurately.Finally, the haze was removed from the image by inversely solving the atmospheric scattering model, so as to obtain the dehazed image with rich details.The proposed method was tested on public RESIDE dataset in comparison with many existing methods.Experimental results show that the proposed method can effectively remove the haze from image and obtain a clear and natural dehazed image, which has higher time and space efficiency than other methods.

Key words: image dehazing, haze-line, scene depth, atmospheric light, transmission

CLC Number:

TP391

Miao LIAO, Yan LU, Jin ZHANG, Yuqian ZHAO, Shuanhu DI. Image dehazing method based on haze-line and color attenuation prior[J]. Journal on Communications, 2023, 44(1): 211-222.

Figures/Tables 10

References 21

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方法	IE	PSNR	SSIM
文献[5]方法	7.32±0.18	11.30±1.63	0.72±0.05
文献[6]方法	7.36±0.20	13.91±1.58	0.81±0.04
文献[10]方法	7.38±0.21	14.10±1.16	0.82±0.04
文献[18]方法	7.50±0.20	19.20±1.49	0.82±0.04
本文方法	7.79±0.15	29.58±0.85	0.98±0.01

方法	IE	PSNR	SSIM
文献[12]	7.63±0.17	25.87±2.16	0.94±0.02
文献[19]	7.52±0.19	20.16±1.33	0.91±0.02
文献[20]	7.71±0.18	29.43±2.56	0.98±0.01
文献[21]	7.73±0.20	34.02±1.61	0.99±0.01
本文方法	7.79±0.15	29.58±0.85	0.98±0.01

方法	参数数量/个	浮点计算次数/10⁹次	运行平台	运行时间
方法	参数数量/个	浮点计算次数/10⁹次	运行平台	训练/h	测试/s
文献[5]	＜10	1.02	MATLAB(CPU)	—	23.88
文献[6]	＜10	0.30	MATLAB(CPU)	—	1.69
文献[10]	＜10	0.13	MATLAB(CPU)	1.11	0.76
文献[18]	＜10	0.56	MATLAB(CPU)	—	5.08
文献[12]	8.24×10³	2.76	MATLAB(CPU)	32.37	3.26
文献[19]	1.76×10³	1.22	Pytorch(CPU)	19.82	1.29
文献[20]	0.92×10⁶	51.14	Pytorch(GPU)	20.86	1.87
文献[21]	17.74×10⁶	492	Pytorch(GPU)	136.23	2.36
本文方法	＜10	0.05	MATLAB(CPU)	1.02	0.72

Image dehazing method based on haze-line and color attenuation prior

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