Image defogging algorithm based on boundary constraint and context regularization

Abstract

In order to improve the accuracy and the reduction degree of a defogging algorithm to cause the accuracy and the reduction degree of the defogging algorithm to meet instantaneity requirements, the invention puts forward an image defogging algorithm based on boundary constraint and context regularization by aiming at a specific problem of defogging. The image defogging algorithm comprises the following steps: firstly, on the basis of a physical model, estimating sky brightness; then, on the basis of the boundary constraint and the context regularization, calculating accurate scene transmissivity; and finally, under the frame of an atmosphere scattering model, utilizing the obtained scene transmissivity to defog an image to obtain a clear fogless image. The algorithm carries out accurate estimation on the basis of the boundary constraint and the context regularization, meanwhile, a tolerance mechanism is used for correcting the scene transmissivity, and the accurate scene transmissivity can be accurately calculated so as to greatly improve an image defogging effect.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to an image defogging algorithm based on boundary constraints and context regularization. Background technique [0002] Under foggy conditions, the scattering effect of atmospheric particles often leads to a decrease in the contrast of the captured image and color distortion, which greatly reduces the visibility of the scene and brings great difficulties to applications in the fields of outdoor video surveillance, transportation, and military reconnaissance. Therefore, it is of great practical significance to improve the clarity of foggy images and correct the color shift phenomenon. The current advanced defogging algorithms, after testing, will cause a certain degree of distortion in the restored image to varying degrees. Contents of the invention [0003] For the specific problem of image defogging, in order to improve the accuracy and restoration of the defogging algorithm and me...

AI Technical Summary

Problems solved by technology

[0002] Under foggy conditions, the scattering effect of atmospheric particles often leads to a decrease in the contrast of the captured image and color distortion, which greatly reduces the visibility of the scene and brings great difficulties to applications in the fields of outdoor video surveillance, transportation, and military reconnaissance.

Therefore, it is of great practical significance to improve the clarity of foggy images and correct the color shift phenomenon. The current advanced defogging algorithms, after testing, will cause a certain degree of distortion in the restored image to varying degrees.

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