Dark channel prior based image defogging method

Abstract

The invention discloses a dark channel prior based image defogging method which includes the steps of 1, dividing the image I(x) on the basis of the classical clustering algorithm to acquire a candidate sky region It(x); 2, corroding the candidate sky region It(x) to acquire sky brightness; 3, performing mini-value filtering on the image to improve the same according to the sky brightness so as to acquire a coarse-estimation transmissivity image; 4, optimizing the coarse-estimation transmissivity image by means of guide filtering to acquire a transmissivity image; and 5, acquiring a recovered image based on an atmospheric scattering model. The dark channel prior based image defogging method has the advantages of processing airglow more reasonably, reducing image block effect, improving overall brightness of images and making the images more natural.

Description

technical field

[0001] The invention belongs to the field of image processing, and in particular relates to an image defogging method based on dark channel priors, which can perform defogging processing on images. Background technique

[0002] Recently, haze weather has become a frequent weather phenomenon. The liquid droplets and small solid particles in the smog not only endanger human health, but also the scattering effect of a large number of suspended particles reduces the visibility of the atmosphere, reduces the image quality, and affects the acquisition of relevant information in the image. At the same time, the reduction of outdoor clarity also leads to unnecessary Traffic accidents, therefore, image defogging technology has become one of the urgently needed research topics in the field of image processing and computer vision.

[0003] Image defogging techniques mainly include two types based on image restoration and image enhancement. Based on the image restorati...

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