Fog image reconstruction using target and atmospheric polarization information

ZHANG Qiang; GAO Jun; FAN Zhiguo; WANG Zhenwu; YAN Yu

doi:10.5768/JAO201940.0502007

Journal of Applied Optics > 2019 > 40(5): 829-837. > DOI: 10.5768/JAO201940.0502007

ZHANG Qiang, GAO Jun, FAN Zhiguo, WANG Zhenwu, YAN Yu. Fog image reconstruction using target and atmospheric polarization information[J]. Journal of Applied Optics, 2019, 40(5): 829-837. DOI: 10.5768/JAO201940.0502007

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Fog image reconstruction using target and atmospheric polarization information

School of Computer and Information, Hefei University of Technology, Hefei 230601, China

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Received Date: January 28, 2019
Revised Date: March 26, 2019

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Abstract

Abstract

Combining the difference between target polarization information and atmospheric polarization information, an image reconstruction method based on the polarization information of target and atmosphere was proposed. Int this method, firstly, the atmospheric light image and target light image are separated from the light intensity image, the atmospheric light polarization information and target light polarization information are analyzed respectively, and the polarization defogging model is constructed. Secondly, the Gaussian filtering method fused with image gradient information is used to estimate the atmospheric light intensity and target light intensity, the atmospheric light polarization degree and target light polarization degree are calculated respectively.Then, the threshold segmentation method of 3σ rule is used to estimate the atmospheric light intensity at the infinite distance in the atmospheric light image space and finally the target image can be reconstructed. Field experiments were carried out under different weather conditions.The experimental results show that the method proposed can recover the target information well in fog, rain and snow weathers, and the entropy of reconstructed image increases by about 40%, the standard deviation of gray level increases by about 90% and the average gradient and edge strength increase by 3 times.
- image reconstruction,
- polarization imaging,
- gradient information,
- Gaussian filter,
- rule 3σ

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References

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Fog image reconstruction using target and atmospheric polarization information