Dark channel prior based traffic video real-time defogging method

A dark channel prior and transportation technology, applied in image data processing, instrumentation, computing, etc., can solve problems such as limitations, inability to achieve adaptive adjustment, flickering, etc., and achieve the effect of improving visual effects

Active Publication Date: 2015-11-11
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology

However, the median filter is not a good edge-preserving filter algorithm, and a sudden change in the depth of field in a local area will produce a halo effect.
Moreover, there are many parameters in the algorithm, which cannot realize self-adaptive adjustment, and requires manual testing and adjustment, which is limited in practical application.
The article [6] proposes a method for quickly defogging YUV video data, but there is a brightness difference between each frame of this method, and the processed result will have flickering problems

Method used

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  • Dark channel prior based traffic video real-time defogging method
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  • Dark channel prior based traffic video real-time defogging method

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Embodiment Construction

[0044] Such as figure 1 Shown, the concrete realization steps of the present invention are as follows:

[0045] (1) The YUV format is directly converted into a downsampled RGB image

[0046] The present invention is aimed at high-definition traffic video, such as 1080P video, and the image size of each frame is 1920*1080. It is difficult to meet the real-time processing requirements by directly performing defogging processing on images of this size or larger. In the present invention, the 1080P YUV data to be processed is directly down-sampled into an RGB image, which is used by the dark channel prior defogging algorithm later. The NV12 format is one of the YUV420sp formats. Here is an example to convert it. The conversion formula is as follows:

[0047] B = Y + 1.732 * ( ...

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Abstract

The present invention relates to a dark channel prior based traffic video real-time defogging method. The method comprises three stages of: stage 1, down-sampling YUV data directly to form an RGB image, and calculating an atmospheric light value and the transmittance after down-sampling; stage 2, directly reconstructing YUV data of an original image into defogged YUV data by using the transmittance obtained from the previous stage; and stage 3, performing contrast stretching on the defogged YUV data in the previous stage. According to the method, a better defogging effect can be achieved, and real-time processing of a 1080P YUV video can be realized; and contrast stretching is performed on a processing result to further improve the visual effect, so that the method is of great significance in fields of safe driving of drivers, traffic monitoring systems and the like.

Description

technical field [0001] The invention relates to a method for real-time defogging of traffic video based on dark channel prior, and belongs to the technical fields of digital image processing and intelligent transportation. Background technique [0002] With the development of society, industrial production has caused serious pollution to the environment. Especially in the past two years, air pollution has been very serious. According to statistics from relevant departments, the air quality of 74 cities in the Beijing-Tianjin-Hebei region, the "Yangtze River Delta" and "Pearl River Delta" regions, municipalities directly under the central government, provincial capitals, and cities under separate state planning have reached air quality standards throughout the year. less than 40% of the days. Air pollution is mainly caused by excessive PM2.5, which makes the whole environment shrouded in severe smog. On the one hand, this kind of smog pollution is very harmful to the human ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 凌强朱学俊邓思斌李博伦李峰
Owner UNIV OF SCI & TECH OF CHINA
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