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A method for predicting atmospheric coverage rate of smog weather

A prediction method and coverage technology, applied in prediction, image data processing, instruments, etc., can solve the problems of low atmospheric coverage prediction and complex weather conditions in haze weather, and achieve the effect of image restoration

Inactive Publication Date: 2019-01-18
重庆大数据研究院有限公司
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Problems solved by technology

However, due to the complexity and randomness of weather conditions, some algorithms proposed so far have certain limitations, and some research results and research methods that have been obtained are still in continuous development and need to be further perfected and improved.
In the prior art, aiming at the degradation of images collected by the road vision system in fog and haze, no effective image enhancement method in fog and haze has been found, so that image enhancement can be effectively realized in fog and haze weather, and the video signal can be effectively improved. image quality and increased sensitivity
[0004] The most important thing to study the image enhancement of haze weather is to predict the coverage rate of the haze weather atmosphere. Coverage Prediction Methods

Method used

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  • A method for predicting atmospheric coverage rate of smog weather
  • A method for predicting atmospheric coverage rate of smog weather
  • A method for predicting atmospheric coverage rate of smog weather

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Embodiment Construction

[0025] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0026] Such as figure 1 As shown in Fig. 1, a method for predicting atmospheric coverage in haze weather uses guided filtering algorithm to evaluate the current atmospheric coverage parameters.

[0027] Further, calculate the atmospheric coverage parameters according to the following steps:

[0028] 321) Build the kernel of the linear filter according to the following formula:

[0029]

[0030] Among them, w k is the kth kernel window; (a k ,b k ) is the linear transformation coefficient in a given unit window; i is the pixel index in the window; q i is the output image; I i is the intensity of the observed image;

[0031] 322) Distinguish the subtle difference between the input image p and the output image q according to the following formula:

[0032]

[0033] Among them, p i is the input image; q i is the output image;

[0034] 323) Calcul...

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Abstract

The invention discloses a method for predicting the atmospheric coverage rate of smog weather, which is characterized in that the current atmospheric coverage parameter is evaluated by using a guidingfilter algorithm. A method for predicting the atmospheric coverage rate of smog weather is characterizd in that the atmospheric coverage rate undeer smog weather can be accurately predicted, the atmospheric coverage rate of smog weather can be analyzed, and the image of smog weather can be restored by analyzing the atmospheric coverage rate of smog weather.

Description

technical field [0001] The invention relates to the field of computer processing, in particular to a method for predicting atmospheric coverage in haze weather. Background technique [0002] The current computer vision system on the road is very sensitive to weather conditions, among which, the fog and haze weather conditions are the most serious one to the visual impact of various weather conditions. Under foggy weather conditions, the visibility is greatly reduced, the visibility of the road environment system becomes poor, and the obtained image is severely degraded, not only blurred, the contrast is reduced, but also serious color shift and distortion occur. Many features contained in the image are covered, which greatly reduces the application value of the image, and also makes these visual systems unable to work normally. [0003] In recent years, the sharpening processing of hazy images has become a research hotspot in the field of computer vision and image processin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06Q10/04
CPCG06Q10/04G06T5/00G06T5/73
Inventor 陈勇刘朝王东强
Owner 重庆大数据研究院有限公司
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