Video defogging method based on spectral clustering

A spectral clustering and video technology, applied in the field of video dehazing based on spectral clustering, which can solve the problems of insufficient consideration of spatial consistency in video frames, temporal continuity between video frames, etc.

Active Publication Date: 2016-08-24
XIAN UNIV OF TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a video defogging method based on spectral clustering, which solves the problem that the existing video defogging method does not consider the temporal continuity between video frames and the spatial consistency within a video frame.

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  • Video defogging method based on spectral clustering
  • Video defogging method based on spectral clustering
  • Video defogging method based on spectral clustering

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Embodiment Construction

[0137] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0138] The present invention is a video defogging method based on spectral clustering, the flow chart is as follows figure 1 As shown, the specific steps are as follows:

[0139] Step 1: The camera collects foggy video, the video sequence As the input for dehazing, where respectively for image I k The RGB color space has three channel values, and the image size is width×height.

[0140] Step 2: Judging the current frame image I collected in step 1 k Whether it is the first frame image I of the video 1 , if yes, go to step 3; otherwise, go to step 4.

[0141] Step 3: For the first frame image I 1 Estimate the global atmospheric light A, and then the first frame image I 1 Apply the spectral clustering algorithm for class segmentation, and get the m-class scene target {C 1 ,C 2 ,...C m}, and finally for the m-type scene target {C 1...

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Abstract

The invention discloses a video defogging method based on spectral clustering. The method specifically comprises the following steps: 1, acquiring, by a camera, a foggy video; 2, judging whether the current frame image Ik acquired in step 1 is a first frame image I1 of the video, if so, carrying out step 3, otherwise, carrying out step 4; 3, estimating global atmospheric light A for the first frame image I1, performing spectral clustering division, and calculating the transmittance of each cluster; 4, estimating the transmittance for video images from the second frame; and 5, recovering a frame of image according to the estimated global atmospheric light and transmittance. The video defogging method based on spectral clustering better ensures the spatial consistency of video frames, weakens the block effect of video images after defogging recovery, better ensures the continuity of video frames and avoids the scintillation effect among the video frames.

Description

technical field [0001] The invention belongs to the technical field of video processing, and in particular relates to a video defogging method based on spectral clustering. Background technique [0002] In the video surveillance industry, smog has also become an invisible killer of high-definition surveillance, and the demand for fog-penetrating surveillance is becoming more and more urgent. As far as the current development is concerned, the fog penetration technology is mainly reflected in two aspects: optical fog penetration and digital fog penetration. Optical fog penetration mainly uses a lens specially optimized for imaging in the infrared band, and uses infrared light in the fog for imaging. Optical fog penetration can only obtain black and white surveillance images, and the lens is expensive and difficult to popularize. Digital fog penetration technology mainly includes non-model-based image enhancement methods and model-based image restoration methods. The fog pe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/21G06T5/00
CPCH04N5/21G06T5/003G06T2207/30232
Inventor 赵凡姚早伊璐姚怡宋晓芳
Owner XIAN UNIV OF TECH
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