Generalized Polarimetric Dehazing Method Based on Low-Pass Filtering in Frequency Domain

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.

[1]  Mohinder Malhotra.  Single Image Haze Removal Using Dark Channel Prior , 2016 .

[2]  Jian Liang,et al.  Study of visibility enhancement of hazy images based on dark channel prior in polarimetric imaging , 2017 .

[3]  Israel J. Vaughn,et al.  Bandwidth and crosstalk considerations in a spatio-temporally modulated polarimeter , 2015, SPIE Optical Engineering + Applications.

[4]  Jian Liang,et al.  Polarimetric dehazing method for dense haze removal based on distribution analysis of angle of polarization. , 2015, Optics express.

[5]  Yoav Y. Schechner,et al.  Blind Haze Separation , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[6]  Lei Cao,et al.  Polarimetric dehazing utilizing spatial frequency segregation of images. , 2015, Applied optics.

[7]  Jian Liang,et al.  Visibility enhancement of hazy images based on a universal polarimetric imaging method , 2014 .

[8]  Q. Han,et al.  Pseudo-polarimetric Method for Dense Haze Removal , 2019, IEEE Photonics Journal.

[9]  Jason Mudge,et al.  Real time polarimetric dehazing. , 2013, Applied optics.

[10]  Andrey S Alenin,et al.  Focal plane filter array engineering I: rectangular lattices. , 2017, Optics express.

[11]  Yoav Y. Schechner,et al.  Advanced visibility improvement based on polarization filtered images , 2005, SPIE Optics + Photonics.

[12]  Robby T. Tan,et al.  Visibility in bad weather from a single image , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Jian Liang,et al.  Fast polarimetric dehazing method for visibility enhancement in HSI colour space , 2017 .

[14]  Yoav Y Schechner,et al.  Polarization-based vision through haze. , 2008, Applied optics.

[15]  Y.Y. Schechner,et al.  Recovery of underwater visibility and structure by polarization analysis , 2005, IEEE Journal of Oceanic Engineering.

[16]  Jian Liang,et al.  Polarimetric dehazing method for visibility improvement based on visible and infrared image fusion. , 2016, Applied optics.

[17]  Shuai Fang,et al.  Image dehazing using polarization effects of objects and airlight. , 2014, Optics express.

[18]  Huimin Lu,et al.  Contrast enhancement for images in turbid water. , 2015, Journal of the Optical Society of America. A, Optics, image science, and vision.

[19]  J Scott Tyo,et al.  Spectral density response functions for modulated polarimeters. , 2015, Applied optics.

[20]  Seong G. Kong,et al.  An Iterative Image Dehazing Method With Polarization , 2019, IEEE Transactions on Multimedia.

[21]  Pingli Han,et al.  Deeply seeing through highly turbid water by active polarization imaging. , 2018, Optics letters.

[22]  Yufu Qu,et al.  Non-sky polarization-based dehazing algorithm for non-specular objects using polarization difference and global scene feature. , 2017, Optics express.

[23]  Jian Liang,et al.  Real-time image haze removal using an aperture-division polarimetric camera. , 2017, Applied optics.

[24]  Tiegen Liu,et al.  Polarimetric image recovery method combining histogram stretching for underwater imaging , 2018, Scientific Reports.

[25]  Yang Yi,et al.  Real-time defog model based on visible and near-infrared information , 2016, 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

[26]  Yong Xu,et al.  Review of Video and Image Defogging Algorithms and Related Studies on Image Restoration and Enhancement , 2016, IEEE Access.

[27]  Keigo Hirakawa,et al.  Improved microgrid arrangement for integrated imaging polarimeters. , 2014, Optics letters.