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Adaptive image defogging method based on dark channel prior

A dark channel prior, adaptive technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of poor adaptive dehazing effect and poor operability.

Active Publication Date: 2016-12-07
UNIV OF SCI & TECH OF CHINA
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  • Summary
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

Since these two parameters are manually set and the parameters are different for different fog images, the effect of adaptive defogging is poor and the operability is not strong.

Method used

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  • Adaptive image defogging method based on dark channel prior
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  • Adaptive image defogging method based on dark channel prior

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Embodiment Construction

[0074] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0075] The execution flow of an adaptive image defogging method based on dark channel prior in the present invention is as follows: figure 1 Shown:

[0076] Step 1): Obtain the fog image in RGB format.

[0077] Step 2): Save the channel with the smallest value in the three channels of the RGB image in the previous step to obtain the minimum value channel map.

[0078] Step 3): Perform minimum value filtering on the minimum value channel map to obtain a dark channel map.

[0079] Step 4): Obtain the atmospheric light value according to the dark channel map, and the selected rule here is: select the brightest point in the RGB fog image corresponding to 0.1% of the dark channel median value as the atmospheric light value of the image.

[0080] Step 5): Dehaze the minimum value channel. The specific method here is: use the dark channel to calcul...

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Abstract

The invention discloses an adaptive image defogging method based on dark channel prior. The method comprises the steps that 1, an overall defogging factor is calculated, wherein a minimum value channel of a foggy image in an RGB format is obtained, the minimum value channel is subjected to defogging processing based on the dark channel prior, defogging results of the minimum value channel are calculated, the overall foggy condition of the image is determined according to the minimum value channel and the global standard deviation ratio of the defogging results of the minimum value channel, and the overall defogging factor omega0 is calculated; 2, a local defogging factor is calculated, wherein the local standard deviation of the minimum value channel is calculated, and the local defogging factor omega(x) is calculated in combination with the atmosphere light value and the overall defogging factor omega0. The defogging factors are solved through a whole and part combined method, defogging factor parameters can be adjusted automatically according to the foggy condition of the image, the optimal fog removing degree is determined, adaptive defogging demands under various scenes can be met, restored image details are greatly enhanced, the visual effect is good, and the method is simple and effective.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to an adaptive image defogging method based on dark channel prior. Background technique [0002] In recent years, smog has appeared more and more frequently in major cities in my country, and some places are even shrouded in smog for most of the year. In 2013, only 5 days in Beijing were not smog days; in January of this year, 30 provinces and cities were enveloped in smog four times. When the smog is large, the visibility is reduced, which seriously affects the clarity of the pictures taken. [0003] Images taken in hazy weather will be seriously degraded due to the influence of atmospheric light, doped with a large amount of fog components, the overall image is grayish white, with less edge information, and the detectability is greatly reduced. Especially for images taken in dense fog, the loss of detail information is large, which is not conducive to computer p...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20004G06T5/73
Inventor 凌强陈春霖朱学俊李峰
Owner UNIV OF SCI & TECH OF CHINA