Image defogging method based on prior information

A priori information and image technology, applied in the field of image processing, can solve problems such as insufficient data volume, lack of real fog-free images, and failure to realize direct defogging processing

Active Publication Date: 2019-12-13
XIDIAN UNIV
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Problems solved by technology

Then, the DehazeNet end-to-end system was proposed for transmittance estimation. Ren et al. successively proposed MSCNN and GFN to realize the dehazing of a single foggy image; however, due to insufficient data,

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  • Image defogging method based on prior information
  • Image defogging method based on prior information
  • Image defogging method based on prior information

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[0070] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0071] The embodiment of the present invention provides an image defogging method based on prior information, such as figure 1 As shown, the method is:

[0072] Step 1: Divide the pixels in the foggy image into pixels in the dense fog area in the distant view and pixels in the haze area in the near view based on the difference in brightness and saturation of pixels in the foggy image;

[0073] Specifically, according to the difference D(x) of the pixel brightness v(x) and the saturation s(x) of the foggy image, the threshold D th , Divide the pixels of the foggy image into pixels in the dense fog ...

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Abstract

The invention discloses an image defogging method based on prior information. The method comprises the following steps: estimating an atmospheric light value according to dark channel prior in combination with distant view dense fog area pixel points; respectively determining atmospheric transmissivity corresponding to distant view dense fog area pixel points and close view thin fog area pixel points according to color attenuation priori; determining atmospheric transmissivity corresponding to pixel points in the close-range mist area according to dark channel prior; determining pixel values corresponding to pixel points of the defogged distant view dense fog area and pixel values corresponding to pixel points of the defogged close view thin fog area; and performing region combination on the pixel values corresponding to the defogged distant view dense fog region pixel points and the defogged close view thin fog region pixel points to obtain a defogged image. By improving the defects of dark channel prior and color attenuation prior defogging algorithms in defogging application, the defogging method has a good defogging effect on mist images in various scenes.

Description

Technical field [0001] The invention belongs to the technical field of image processing, and specifically relates to an image defogging method based on prior information. Background technique [0002] At present, defogging algorithms based on image restoration research fog image imaging models, substitute known parameters and solve unknown parameters to achieve defogging, and are mainly divided into two methods: prior knowledge and machine learning. [0003] Traditional defogging methods are mainly based on prior knowledge, including He Kaiming et al.'s dark channel prior method, Tan et al.'s maximum contrast method, Zhu et al.'s color attenuation prior method, Ancuti et al.'s chromaticity inconsistency method, etc. . A prerequisite for using the dark channel attenuation prior algorithm is "non-sky". Since the pixel value of each color channel in the sky area is very high, there is no dark channel value tending to 0, so the dark channel is used to remove the fog a priori , It is ...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/005G06T2207/20081
Inventor 周慧鑫赵星邓宝凯宋江鲁奇李欢张喆黄楙森谭威张嘉嘉于跃秦翰林王炳健
Owner XIDIAN UNIV
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