Image defogging method with optimal contrast ratio and minimal information loss

Abstract

The invention relates to an image defogging method with optimal contrast ratio and minimal information loss. The image defogging method is characterized in that through the adoption of functions including the Gauss mixed model, the quadtree, the maximal contrast ratio and the minimal information loss, the image defogging method is realized. The image defogging method comprises the following steps: firstly, based on the Gauss mixed model and the expected value maximal algorithm, images are segmented into two categories, namely, a sky region and a non-sky region; secondly, the quadtree iteration method is adopted in the sky region of the images to estimate the atmospheric illumination intensity of an atmospheric scattering model; then, the grid partition method is adopted to partition the non-sky region of the images and the functions of the maximal contrast ratio and the minimal information loss are adopted to calculate the spreading rate of an atmospheric lighting model of each grid unit; based on the constant coefficient and the optimal spreading rate of the non-sky region, the spreading rate of the sky region is estimated; finally, the recovery images of the sky region and the non-sky region are merged and output.

Description

technical field [0001] The invention relates to computer image processing, in particular to an image defogging method with optimal contrast and minimized information loss. Background technique [0002] Since 2012, nearly half of the 74 key monitoring cities in the country have been severely polluted by smog. The smog has shrouded us, blocking sight, and the images captured by imaging systems such as cameras and video surveillance have dim colors and low contrast. The severe degradation of image quality directly affects the visual effect of images and seriously affects their application range. In many applications, it is necessary to perform defogging processing on images polluted by haze. [0003] The atmospheric medium is mainly composed of air molecules, water vapor, and aerosols. The aerosol particles contained in the air are the main factor for the formation of smog and the root cause of image quality degradation. In foggy weather, the light reflected from the surface o...

AI Technical Summary

Problems solved by technology

However, this method has a disadvantage that the gradual modification of the atmospheric scattering coefficient required for the acquisition of image depth information requires user interaction.

However, some defogging methods show that the contrast is overstretched, or the depth of field cannot be correctly estimated, so that the image with heavy haze cannot be removed, or only consider the contrast maximization without losing important information of the original image, or the color of the sky part of the image distorted

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