Real-time image defogging method based on image simplified hierachical model

A layered model and real-time image technology, applied in the field of computer vision, can solve problems such as high algorithm complexity, slow processing speed, and failure of dark channel prior information, and achieve enhanced detail information, low complexity, and low algorithm complexity Effect

Inactive Publication Date: 2011-11-23
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

The disadvantage is that the algorithm complexity is extremely high, the processing speed is very slow, and the dark channel prior information will be invalid when the brightness of the scene object is similar to the atmospheric light.

Method used

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  • Real-time image defogging method based on image simplified hierachical model
  • Real-time image defogging method based on image simplified hierachical model
  • Real-time image defogging method based on image simplified hierachical model

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Embodiment Construction

[0037] Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0038] figure 1 It is an overall flowchart of a real-time image defogging method based on an image simplified layered model in the present invention. The following will refer to figure 1 , each step of a real-time image defogging method based on a simplified layered image model of the present invention is described in detail.

[0039] Step 1: Read in a frame of video image 1(x, y) from the input foggy color video data, such as figure 2 shown. The width of the image is W pixels, the height is H pixels, (x, y) is the image pixel coordinates, where 0≤x≤W-1, 0≤y≤H-1, H, W, x, y are non-negative integer. The scene in the image is covered by dense fog, and only a silhouette can be seen of the car in the deepest part of the scene and the notice wall on the roadside.

[0040] Step 2: Use a bilateral filter to smooth the video image 1 (x, y) in s...

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Abstract

The invention discloses a real-time image defogging method based on an image simplified hierachical model, and the method is applied to cleanness processing of a real-time image under a foggy weather condition and belongs to the field of computer vision. The method comprises the following steps of: reading one frame video image from input foggy weather color video data; performing smoothing treatment on the video image, thus obtaining a basic image layer of the video image; using an original video image to reduce the basic image layer of the video image, thus obtaining a detail image layer ofthe video image; stretching the detail image layer of the video image, thus obtaining the enhanced detail image layer of the video image; adding the enhanced detail image layer of the video image with the basic image layer of the video image to obtain the defogged video image; and reading the next frame video image until all of the video image frames in the color video data are processed. The method can be used for effectively defogging and also can be used for reducing the complexity of the algorithm, thus the cleanness process of the real-time image under the foggy weather condition can be realized.

Description

technical field [0001] The invention relates to a real-time image defogging method based on an image simplified layered model, which is suitable for clear processing of real-time images under foggy conditions and belongs to the field of computer vision. Background technique [0002] In foggy conditions, due to the reduced visibility of the scene, the contrast and color fidelity of the outdoor images obtained by people are poor, which has a great impact on image analysis and information extraction, which is not conducive to the extraction of image features and reduces the the application value of the image. [0003] At present, many applications in the field of computer vision, such as image matching guidance, satellite remote sensing monitoring, sea and land traffic monitoring, intelligent vehicles and target tracking, etc., all need to fully extract image features. Because low-visibility images bring great difficulties to the normal work of outdoor vision systems, image de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 黄治同陈璐纪越峰
Owner BEIJING UNIV OF POSTS & TELECOMM
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