Single image defogging method based on joint mean shift

Abstract

The invention discloses a single image defogging method based on joint mean shift. The single image defogging method based on joint mean shift mainly solves the problem that an existing defogging method is poor in effect of defogging a sky fog image. The single image defogging method based on joint mean shift comprises the following steps of (1) inputting a foggy RGB image, (2) generating a shadow channel image, (3) obtaining a corrosion image, (4) obtaining an expansion image, (5) obtaining an atmosphere curtain image, (6) obtaining the environmental brightness, (7) obtaining the transmittance, (8) obtaining a defogged image, and (9) adjusting the brightness. According to the single image defogging method based on joint mean shift, the atmosphere curtain image and segmentation images of the atmosphere image are obtained through a joint mean shift image segmentation method, the accurate environmental brightness can be obtained, fog can be effectively removed, original detail characteristics of images can be reserved, and the single image defogging method based on joint mean shift has the advantages of being low in computation complexity and good in image defogging effect, and can be widely used for image preprocessing in the fields such as the satellite remote sensing field, the urban traffic field, the intelligent vehicle field and the terrain reconnaissance survey field.

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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