Analysis and restoration research of fog polarization imaging

WANG Jiejun; YANG Jie; ZHANG Wentao; WANG Xinqiang; YE Song

doi:10.7510/jgjs.issn.1001-3806.2016.04.014

To solve the quality degradation problem of fog polarization imaging, an improved defogging method was proposed based on physical model of atmospheric scattering and dark passage principle of polarization images. Firstly, based on atmospheric scattering model, fog polarization imaging mechanism was analyzed and effect of atmospheric polarization on defogging was explained. Secondly, based on edge detection operator and closing operation, sky region of fog polarization image was obtained, and light intensity of infinity atmospheric and degree of polarization of atmospheric were estimated. At last, to solve the existing factors in the image such as noise interference, radiation intensity information of the degraded image was restored by modifying the degree of polarization and light intensity distribution of atmospheric. After theoretical analysis and experimental verification, good results of foggy image restoration were achieved. The results show that the algorithm can accurately obtain the sky region and improve the contrast and sharpness of the image, and improve the degradation of the image. Therefore, the algorithm can effectively inhibit the degradation of the image caused by fog, and improved target detection and identification capability of remote sensing.

Analysis and restoration research of fog polarization imaging

1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China;

2. Guangxi Colleges and Universities Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, China;

3. Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of ElectronicTechnology, Guilin 541004, China

Received Date: 2015-04-30

Accepted Date: 2015-06-08

Available Online: 2016-07-25

Abstract: To solve the quality degradation problem of fog polarization imaging, an improved defogging method was proposed based on physical model of atmospheric scattering and dark passage principle of polarization images. Firstly, based on atmospheric scattering model, fog polarization imaging mechanism was analyzed and effect of atmospheric polarization on defogging was explained. Secondly, based on edge detection operator and closing operation, sky region of fog polarization image was obtained, and light intensity of infinity atmospheric and degree of polarization of atmospheric were estimated. At last, to solve the existing factors in the image such as noise interference, radiation intensity information of the degraded image was restored by modifying the degree of polarization and light intensity distribution of atmospheric. After theoretical analysis and experimental verification, good results of foggy image restoration were achieved. The results show that the algorithm can accurately obtain the sky region and improve the contrast and sharpness of the image, and improve the degradation of the image. Therefore, the algorithm can effectively inhibit the degradation of the image caused by fog, and improved target detection and identification capability of remote sensing.

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Reference (15)

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Analysis and restoration research of fog polarization imaging

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