Polarized image defogging method for obtaining transmissivity based on differential polarization

Abstract

The invention discloses a polarized image defogging method for obtaining transmissivity based on differential polarization, and belongs to the technical field of image defogging processing. The method comprises the following steps of acquiring two orthogonal polarization images of the same scene by using a polarization imaging method, establishing an atmospheric scattering model based on the foggy image physical model, and respectively calculating bright and dark channel images of the two sub-images in combination with bright and dark channel priori to obtain a transmissivity image t1 of the dark channel and an atmosphere light value at infinity, according to a difference image defogging method, approximately replacing the optical thickness by fog concentration to acquire a difference transmittance graph t2; and combining the dark channel transmissivity image with the differential transmissivity image to obtain a total transmissivity image, carrying out threshold processing on the total transmissivity image, and then carrying out refinement processing by using guide filtering; and substituting the obtained transmissivity and the atmospheric light into an atmospheric scattering model to obtain a fogless image. Image quality is obviously improved, more object reflected light information is obtained, and the definition of the restored image is improved.

Description

technical field [0001] The invention relates to a polarization image defogging method based on differential polarization to obtain transmittance, and belongs to the technical field of image defogging processing. Background technique [0002] In recent years, fog and haze weather has become more and more serious, which leads to the degradation of the image quality acquired by the imaging system, which seriously affects the analysis and judgment of the visual system; therefore, improving the clarity of foggy images to obtain better visual effects and richer visual effects Algorithms for detail information processing have become the focus of current research. At present, many researchers have proposed many methods for processing foggy images; since the atmospheric light formed by scattering particles such as haze and sunlight has partial polarization characteristics, polarization optical imaging dehazing is suitable for various scenarios. All kinds of haze weather has a wide r...

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Problems solved by technology

At present, many researchers have proposed many methods for processing foggy images; since the atmospheric light formed by scattering particles such as haze and sunlight has partial polarization characteristics, polarization optical imaging dehazing is suitable for various scenarios. All kinds of haze weather has a wide range of applications and has become one of the research hotspots; in strong scattering environments, target detection and recognition based on polarization imaging technology has advantages and applications that other imaging methods do not have; algorithms for dark channel priors are not applicable In the sky and large white areas, the estimated value of atmospheric light is likely to be too large, causing color distortion problems

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