Quick image defogging method based on two times of guide filtration

Abstract

The invention discloses an image defogging method based on two times of guide filtration. Firstly, an original foggy image is preprocessed to obtain an atmospheric light curtain rough estimation graph, and a guide image is obtained through a guide filter; secondly, a refined atmospheric light curtain graph is obtained through the guide filter; thirdly, the atmospheric light intensity value is calculated, and an atmospheric scattering physical model is adopted to conduct image restoration processing on the original foggy image; finally, the restored image is enhanced. The image defogging method based on two times of guide filtration has universality and popularity, effectively improves the definition of the image which is defogged and also effectively improves the real-time performance of an algorithm.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to a fast image defogging method based on twice guided filtering, which can be used for fast defogging of a single image or continuous video. Background technique [0002] Fog is a common natural phenomenon. When images are taken in foggy days, due to the scattering effect of suspended particles in the atmosphere, the brightness of the captured image increases, the contrast decreases, and the recognizability of the image decreases. Even for photos taken under sunny conditions, the sharpness of the photos will be affected due to atmospheric scattering. In every real scene, photo clarity suffers because of the fact that light bounces off surfaces and scatters into the air before reaching the camera. This is because certain factors in the air (such as aerosols, dust, fog and smoke, etc.) can cause the surface color of the object to fade and cause the contrast of the entire image to decre...

AI Technical Summary

Problems solved by technology

Enhancement methods based on image processing include global image enhancement methods, such as global histogram equalization, homomorphic filtering, wavelet method, Retinex algorithm, etc., or localized image enhancement methods, such as local histogram equalization, local contrast Enhancement method; the above image processing algorithm is relatively simple, and the effect of defogging for complex scenes is general

Restoration methods based on physical models include restoration based on partial differential equations, restoration based on depth relations, and restoration based on prior information; the above image processing algorithms are relatively complex, and can better deal with the effects of fog in complex scenes, but High computational complexity, difficult implementation, and slow processing speed make it difficult to realize real-time processing of defogging processing, so that it cannot be efficiently applied to video defogging processing

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