基于引导滤波和自适应容差的图像去雾算法

doi:10.11959/j.issn.1000-436x.2020078

Abstract

Abstract:

Aiming at the problem of distortion of dark channel algorithm in defogging the sky region,an improved image defogging algorithm based on the guided filtering and adaptive tolerance mechanism was proposed.Firstly,the fitted transmissivity graphs were calculated for the windows with different sizes.Then,the transmissivity was further refined by the guided filtering technique.After that,the transmissivity in sky area was revised by an adaptive tolerance mechanism.Finally,the restored image was converted from RGB space to HSV space,and thus the brightness and contrast of the images could be color compensated.Experimental results show that the proposed algorithm restores the images effectively and obtain preferable defogging results with regard to the processing of bright areas such as the sky areas.

Key words: image defogging, guided filtering, adaptive tolerance, dark channel prior, transmissivity

CLC Number:

TP391

Xianli JIN,Wei ZHANG,Linfeng LIU. Image defogging algorithm based on guided filtering and adaptive tolerance[J]. Journal on Communications, 2020, 41(5): 27-36.

Figures/Tables 15

References 25

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参数	描述	值
Θ	求取透射率调节参数	0.95
γ	拟合透射率参数	0.5
α	容差调节因子	0.95
r	引导滤波半径	60像素
ε	引导滤波正则化参数	0.001

带雾图像	去雾算法	平均梯度	可见边的规范化梯度均值	信息熵	算法运行时间/s
	文献[12]算法	15.553 3	1.511 0	7.365 0	13.551 0
图8(a1)	文献[14]算法	13.963 5	1.278 0	7.335 0	0.627 4
(450像素×441像素)	文献[21]算法	15.724 9	1.455 6	7.154 0	—
	文献[24]算法	13.770 4	1.378 0	7.327 3	0.948 7
	IDAFT	16.196 5	1.642 5	7.583 9	0.664 5
	文献[12]算法	12.663 3	1.204 1	7.101 0	53.616 3
图8(b1)	文献[14]算法	12.103 2	1.104 0	7.031 5	2.351 5
(1 024像素×768像素)	文献[21]算法	15.025 7	1.317 8	7.088 2	—
	文献[24]算法	11.851 7	1.149 0	7.230 5	1.796 0
	IDAFT	14.164 1	1.353 6	7.346 8	2.746 0
	文献[12]算法	15.850 3	1.324 5	7.436 9	18.039 1
图8(c1)	文献[14]算法	16.065 3	1.317 1	7.489 2	0.798 3
(600像素×450像素）	文献[21]算法	17.000 2	1.302 2	7.535 9	—
	文献[24]算法	18.026 1	1.573 7	7.782 0	1.102 1
	IDAFT	18.597 0	1.605 0	7.806 9	0.895 1
	文献[12]算法	4.508 9	1.820 6	7.212 4	23.161 0
图8(d1)	文献[14]算法	4.340 4	1.712 5	7.167 6	0.946 8
(680像素×510像素)	文献[21]算法	4.552 3	1.693 6	6.500 1	—
	文献[24]算法	5.086 3	1.866 6	6.867 8	1.201 3
	IDAFT	4.801 1	2.009 1	6.371 7	1.082 8

Image defogging algorithm based on guided filtering and adaptive tolerance

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