Mean filtering-based fog-degraded image sharp processing method

Abstract

The invention discloses a mean filtering-based fog-degraded image sharp processing method. The method comprises the following steps: 1, the minimum value image in three channels of the fog-degraded image is calculated; 2; mean filtering is carried out on the minimum value image; 3-1, the fog-degraded image is considered as an atmospheric scattering model which is composed of an incident light attenuation model and an atmospheric light imaging model; 3-2, the transmittance is roughly estimated; 3-3, a mean square error contrast measure function and an image information loss evaluation function of the image are combined to iteratively estimate the best transmittance; 4, the radiation intensity of the global atmospheric light is estimated; and 5, an atmospheric scattering model formula is used for calculating and restoring a non-fog image. Only one time of simple mean filtering is used for acquiring the rough transmittance estimation and the rough atmospheric light value estimation; the best transmittance is solved via the mean square error contrast measure function and the image information loss evaluation function; and the general calculation method is simple, the calculation complexity is low, a clear non-fog image can be restored quickly, and the method can be applied to an image or a video system in real time.

Description

technical field [0001] The invention belongs to the field of digital images, in particular to a method for clearing foggy images based on mean value filtering. Background technique [0002] Along with the deterioration of air quality, the phenomenon of haze weather increases. Under fog, haze and other weather conditions, there are a large number of tiny water droplets and aerosols suspended in the atmosphere, and their scattering effect on light leads to a serious decline in the quality of captured images, such as grayish white images in foggy weather, reduced contrast, and difficult to identify object features, etc. , not only the visual effect is poor, and the image appreciation is reduced, but also the post-processing of the image will be affected. Therefore, it is of great significance to analyze and study the image degradation caused by this natural phenomenon. [0003] At present, there are many processing methods for image clarity in foggy weather, which are mainly ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems that many existing image defogging algorithms have extremely high temporal and spatial complexity, fail to meet real-time requirements, and are difficult to put into practical applications, this invention proposes a method for clearing foggy images based on mean filtering , this method first roughly estimates the transmittance, and then estimates the best transmittance, obtains the radiation intensity A of the global atmospheric light, brings it into the atmospheric scattering model formula, and calculates and restores the fog-free image J(x)

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