Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain
1
State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
2
James C. Wyant College of Optical Sciences, University of Arizona, 1630 E University Blvd, Tucson, AZ 85721, USA
3
School of Physics and Information Technology, Shaanxi Normal University, Xi’an 710119, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(6), 1729; https://doi.org/10.3390/s20061729
Received: 31 January 2020
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Revised: 15 March 2020
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Accepted: 16 March 2020
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Published: 20 March 2020
(This article belongs to the Section Optical Sensors)
Polarimetric dehazing methods can significantly enhance the quality of hazy images. However, current methods are not robust enough under different imaging conditions. In this paper, we propose a generalized polarimetric dehazing method based on low-pass filtering in the frequency domain. This method can accurately estimate the polarized state of the scattering light automatically without adjusting bias parameters. Experimental results show the effectiveness and robustness of our proposed method in different hazy weather and scattering underwater environments with different densities. Furthermore, computational efficiency is enhanced more than 70% compared to the polarimetric dehazing method we proposed previously.
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Keywords:
polarimetric imaging; dehazing; frequency domain
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MDPI and ACS Style
Liang, J.; Ju, H.; Ren, L.; Yang, L.; Liang, R. Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain. Sensors 2020, 20, 1729. https://doi.org/10.3390/s20061729
AMA Style
Liang J, Ju H, Ren L, Yang L, Liang R. Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain. Sensors. 2020; 20(6):1729. https://doi.org/10.3390/s20061729
Chicago/Turabian StyleLiang, Jian, Haijuan Ju, Liyong Ren, Liming Yang, and Rongguang Liang. 2020. "Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain" Sensors 20, no. 6: 1729. https://doi.org/10.3390/s20061729
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