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Image defogging method

A technology in images and images, applied in the field of image defogging, can solve problems such as error, inaccurate estimation, loss of image information, etc., and achieve the effect of avoiding light spots

Active Publication Date: 2020-12-08
SHANGHAI DIANJI UNIV
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Problems solved by technology

But there will be white fog blocks for the depth of field area; literature [7] In order to overcome the image block effect of dehazing images, a non-local prior algorithm is proposed and the color distance is captured frame by frame, but the assumption of no haze in the future may have errors in practice; literature [8] A defogging algorithm with adaptive transmittance is proposed to solve the problem of inaccurate estimation of the traditional dark channel prior transmittance, but there is a problem of image information loss when using the average gradient value to judge the fog concentration

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Embodiment

[0054] Example: such as figure 1 As shown, the embodiment of the present invention includes an image defogging method for processing foggy images. The physical model used in the method is a mathematical model of fogged images, which is defined as the following formula:

[0055] I(x)=J(x)t(x)+A(1-t(x)) (1)

[0056] In the formula, I is the original foggy image captured, J is the clear and fog-free image after restoration, t is the light transmittance, A is the atmospheric light value, and x is the index of the degree of fogging.

[0057] In most non-sky local areas, some pixels will always have very low (close to 0) values ​​of the color channel. Therefore, for any image J, the dark channel can be defined as:

[0058]

[0059] In the formula, J c is a color channel of J, Ω(x) is the area centered on pixel x, J dark is the dark primary color of J.

[0060] According to the formula (1) and the prior theory of the dark channel color, the minimum value of the formula (1) is...

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Abstract

The invention discloses an image defogging method. The method comprises the steps of acquiring an atmospheric light value from a foggy image; obtaining a transmissivity image from the foggy image by adopting a guide filtering algorithm based on a canny operator; and performing pixel-by-pixel processing on the foggy image according to the atmospheric light value and the transmissivity image to obtain a defogged image. According to the method, the local halo effect can be solved, the subjective visual effect of the algorithm is superior to that of other algorithms, and image edge denoising is more natural; objective performance index comparison shows that the improved defogging algorithm has higher image quality and better image restoration degree.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to an image defogging method. Background technique [0002] In foggy weather or low light, it will greatly affect the image recognition effect. Therefore, research on the dehazing algorithm can improve the recognition efficiency. At present, there are mainly two types of dehazing methods. One is the defogging algorithm based on the non-physical model, which uses the image enhancement algorithm to improve the image contrast to achieve the defogging effect. The common one is based on histogram equalization [1] and an algorithm based on the Retinex principle [2,3] , but this method will lose image information; the other is the defogging algorithm based on the physical model, mainly the classic dark channel prior defogging algorithm proposed by Dr. He Kaiming [4] , to restore the image. This method has a good defogging effect, but there is also the problem of using the Soft Ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/155
CPCG06T7/155G06T5/73
Inventor 林锦晨杨俊杰于婷耿传平
Owner SHANGHAI DIANJI UNIV
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