Polarized image defogging method combined with dark channel prior principle

Abstract

The invention discloses a polarized image defogging method combined with a dark channel prior principle. The method comprises the following steps of: firstly, obtaining a polarized image by a polarization imaging technology, thereby obtaining linear polarization stokes vectors of a scene; secondly, selecting a region from a total light intensity image of the scene, and estimating an atmosphere diffusion light polarization degree, a polarization angle and an atmosphere diffusion light intensity of the infinite area based on the region; then calculating the atmosphere diffusion light intensity of each pixel point according to the estimated atmosphere diffusion light polarization degree and the polarization angle, and based on a physical model of polarized defogging imaging, combining the atmosphere diffusion light intensity of each pixel point with the atmosphere diffusion light intensity of the infinite area to calculate the target light intensity after the defogging; and finally, carrying out image quality evaluation by utilizing a gray scale entropy function, automatically optimizing the bias coefficient of the atmosphere diffusion light intensity of the infinite area, and obtaining the defogged image. The method provided by the invention can accurately and automatically estimate the information of atmosphere diffusion light, the reliability is higher, the calculation speed is high, and the contrast of the defogged image is high.

Description

technical field [0001] The invention belongs to the field of optics and image processing, and in particular relates to a polarization imaging defogging method combined with the dark channel prior principle, which is used to improve the image quality of visual equipment in environments such as haze, smoke, water vapor and the like. Background technique [0002] In recent years, with the development of human society, environmental pollution and climate change have caused more and more climatic conditions such as smoke, fog, and haze, which have caused many inconveniences to people's lives, such as the greatly reduced visibility of the scene, which has increased the difficulty of observation. The defogging imaging technology that enhances target imaging contrast and improves visibility in smoke, fog, and haze weather environments has very important application values ​​in both military and civilian fields. Therefore, effective defogging and noise reduction for image visibility ...

AI Technical Summary

Problems solved by technology

This type of method can better deal with the influence of haze in complex scenes, but the algorithm is complex, the amount of calculation is large, and it takes a long time to meet the requirements of real-time dehazing processing.

[0004] In the "SingleImageHazeRemovalUsingDarkChannelPrior" published on IEEETRANSACTIONSONPATTERNANALYSISANDMACHINEINTELLIGENCE, He et al. proposed a dehazing method based on the dark channel prior principle. This method uses dark pixels to directly evaluate the target information in the fog, and can obtain more accurate atmospheric scattered light information. The quality of the restored image is ideal, but it needs to perform soft matting processing on the entire image, and the amount of calculation is very large

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