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Image defogging method based on improved tolerance mechanism

An image and mechanism technology, applied in the field of computer vision, can solve the problems of excessive compensation, color distortion of the restoration result, low transmittance, etc., and achieve the effect of reasonable compensation range, improvement of color distortion phenomenon, and natural dehazing result.

Pending Publication Date: 2020-06-02
JIANGSU UNIV
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Problems solved by technology

Among them, He Yuming et al. proposed a simple dark channel prior single image defogging method based on the statistical laws of the outdoor fog-free image database, which achieved a good defogging effect on general outdoor images, but the method was based on dark Based on the channel assumption, for the bright areas that do not meet this assumption, the transmittance in the algorithm is too small, and the color distortion appears in the restoration result. Therefore, Jiang Jianguo and others proposed a tolerance mechanism to repair the problem of color distortion. The tolerance mechanism is correct. Compensate the transmittance in the area that conforms to the dark channel assumption, but the existing tolerance mechanism is overcompensated

Method used

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  • Image defogging method based on improved tolerance mechanism
  • Image defogging method based on improved tolerance mechanism
  • Image defogging method based on improved tolerance mechanism

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Embodiment Construction

[0024] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0025] Such as figure 1 , an image defogging method based on an improved tolerance mechanism proposed by the present invention, comprising the following steps:

[0026] Step 1, find the image to be defogged (such as figure 2 Shown) the channel value with the lowest pixel point value in the RGB channel is saved as a dark channel map, and then the dark channel map just obtained is carried out to the minimum value filtering process, and the required dark channel map O is obtained after the filtering process dark (Such as image 3 shown):

[0027]

[0028] Among them, O dark (i) is the value o...

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Abstract

The invention discloses an image defogging method based on an improved tolerance mechanism, and the method comprises the steps: adding the improved tolerance mechanism to an atmospheric scattering model, obtaining a final image restoration formula, processing a to-be-defogged image O, and obtaining a final restored image F; according to the method, the part of the region which does not meet the dark channel prior rule in the target picture can be compensated more accurately, the defogging capability is prevented from being reduced, and the visual effect of the image is improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision, in particular to an image defogging method based on an improved tolerance mechanism. Background technique [0002] In the foggy environment, due to the influence of atmospheric scattering, the visibility and contrast of the captured scenes are reduced, which directly affects the safety of aviation, shipping and road traffic. Often does not work reliably. Therefore, simple and effective image dehazing is of great significance to improve the reliability and robustness of vision systems. [0003] The image defogging algorithms are mainly divided into two categories: one is based on image enhancement methods, which dehaze according to the exponential relationship between image quality reduction and the distance from the scene point to the imaging sensor, so this assumption The image enhancement technology with constant scene depth cannot dehaze the fogged image very well. The other is the ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/94G06T5/73
Inventor 杨洋孙正祥
Owner JIANGSU UNIV
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