Image Dehazing Method Based on Dark Channel Adaptive Improvement of Global Atmospheric Light

Abstract

The invention discloses an image defogging method based on a dark channel-based linear self-adaptive improvement of global atmospheric light. Firstly, a haze image in a haze weather is obtained, and then a method for obtaining the slope of a center-of-gravity line through a binary image of the image Obtain the atmospheric light change angle θ of the image, and then obtain the linear atmospheric light map that changes along the atmospheric light change direction θ, and then solve the fog-free image through the atmospheric scattering model, and output the processed foggy image under the haze weather. The present invention not only satisfies the requirement of not distorting the distant scene under the condition of dense fog or deep field depth, but also preserves the details of the nearby scene, which is particularly important for subsequent haze image processing and information extraction.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image defogging method based on dark channel-based linear self-adaptive improvement of global atmospheric light. Background technique [0002] The quality of images taken in foggy weather will be affected by the weather. This is because dust particles and water vapor in the air will absorb and scatter light in foggy weather, resulting in changes in the light intensity received by the sensor. The clarity of the scene in the foggy image is lower than that of the image taken on a sunny day, which may cause some image-based applications to be limited, such as traffic safety monitoring, target recognition in aerial surveillance, etc. Image defogging technology can eliminate or reduce the impact of haze weather on image quality, so it has practical significance. [0003] At present, there are already some algorithms that can achieve single image defogging. Thes...

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Problems solved by technology

[0005] The purpose of the present invention is to provide an image defogging method based on dark channel-based linear adaptive improvement of global atmospheric light, which uses atmospheric light maps instead of global atmospheric light values ​​to solve the problem caused by uneven distribution of atmospheric light in dense fog weather. After defogging, the problem of image distortion caused by the large difference in atmospheric light value between the dense fog and the foreground part, the invention can not only maintain the contrast of the dark area of ​​the image, but also make the scene details in the bright area appear

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