Rapid image defogging method based on spatial continuity principle

Abstract

The invention discloses a rapid image defogging method based on a spatial continuity principle. The method includes firstly preparing two integer type filter lookup tables according to selected parameters to perform space domain and value domain bilateral filtering based on the lookup tables; then, performing blurring processing on an atmospheric light curtain estimation image based on the spatial continuity principle, and performing image restoration processing on a fog image by using an atmospheric scattering physical model; and finally, performing brightening processing on the restored image. The rapid image defogging method is general and universal, not only the definition of images is improved effectively, but also timeliness of algorithms is improved effectively.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to a fast image defogging method based on the principle of spatial continuity, 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 elements in the air (such as aerosols, dust, fog and smoke, etc.) can cause the color of the surface of the object to fade, and cause the contrast of the...

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

When the original bilateral filter is used to filter the image, the amount of calculation is large and the image details are blurred after dehazing.

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