Abstract
In this paper, we present an image defogging method based on the physical process of fog altering the light passing through it, in order to restore information in degraded photos from an optical standpoint. To calculate the fog scattering components quantitatively for different wavelength ranges, we integrate the fog droplet distribution functions with Mie scattering theory. To simulate a real fog scene, the method calculates the environmental visibility by first using a droplet distribution function to determine the corresponding fog droplet size, then calculating the Mie scattering efficiency factors using the obtained droplet size, and finally determining the light attenuation coefficient in different color channels. Experiments reveal that this wavelength-dependent strategy achieves outstanding information entropy and a high proportion of visible edges while also having advantages in retrieving items concealed by dense fog.
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