A single image dehazing method based on joint mean shift

Abstract

The invention discloses a single image defogging method based on joint mean drift, which mainly solves the problem that the existing defogging method has poor defogging effect on images with sky haze. The implementation steps are as follows: (1) input a foggy red-green-blue RGB image; (2) generate shadow channel image; (3) obtain corrosion image; (4) obtain expansion image; (5) obtain atmospheric curtain image; 6) Obtain the brightness of the ambient light; (7) Obtain the transmittance; (8) Obtain the image after defogging; (9) Adjust the brightness. The invention adopts the joint mean shift image segmentation method to obtain the atmospheric curtain image and the segmentation image of the atmospheric curtain image, and then obtains more accurate ambient light brightness, can effectively remove the fog and retain the original detail features of the image, and has low computational complexity and high image quality. The advantages of good dehazing effect can be used for image preprocessing in satellite remote sensing, urban traffic, intelligent vehicles, terrain surveying and other fields.

Description

technical field [0001] The present invention relates to the technical field of image processing, and further relates to a method for defogging a single image of a foggy digital image based on joint mean shift in the technical field of natural image processing and filtering. This method can be used for digital image preprocessing in the fields of satellite remote sensing, urban traffic, intelligent vehicles, terrain survey and video multimedia. Background technique [0002] Under fog, haze and other weather conditions, the scattering effect of a large number of tiny water droplets and aerosols suspended in the atmosphere leads to serious degradation of captured images, which greatly limits and affects the functions of outdoor systems. In general, researchers often use the atmospheric scattering model given by Narasimhan et al. to describe the imaging process of scenes under haze weather conditions. At present, many dehazing algorithms are based on this model, and different m...

AI Technical Summary

Problems solved by technology

This method improves the single image defogging method from the two aspects of ambient light brightness and atmospheric curtain image acquisition, and can restore the edge details of the sudden change in the depth of field in the haze image, and solves the problem of the existing single image defogging method. The problem of the high complexity of the fog method and the poor recovery effect of the sky area in the fog image

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