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Embedded foggy-weather real-time video image stabilization method

A real-time video and embedded technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as jitter and video blur

Active Publication Date: 2016-09-28
DALIAN UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to solve the problem of blur and jitter in the video shot in bad weather, fully improve the visual effect of the video, thereby providing a wider application scene for real-time monitoring, video tracking and splicing

Method used

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  • Embedded foggy-weather real-time video image stabilization method
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  • Embedded foggy-weather real-time video image stabilization method

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Embodiment Construction

[0063] The specific implementation manners of the present invention will be further described below in conjunction with the accompanying drawings and technical solutions.

[0064] An embedded foggy real-time video image stabilization method, the steps are as follows:

[0065] A. Determine whether the current frame is the first frame, if yes, detect the Harris corner points in the current frame image, select 256 Harris strong corner points therefrom, and save the position information of the Harris strong corner points in Cornerx and Cornery respectively, After the image is output, jump to step E for processing; if not, proceed to step B directly;

[0066] A1. When performing Harris corner detection, the gradient is calculated by using the function VLIB_xyGradientsAndMagnitude() in the VLIB library, and the gradient is used as the input of the function VLIB_harrisScore_7x7() to detect the Harris corner of the current frame and obtain the corner score value, through VLIB_nonMaxSu...

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Abstract

The invention discloses an embedded foggy-weather real-time video image stabilization method. By using the method, problems of jitter and contrast ratio reduction, which exist in a foggy-weather video, are solved. The method comprises the following steps of A, simultaneously applying video image stabilization based on an Harris angular point and an Retinex algorithm with color recovery in an embedded system so as to carry out foggy-weather video processing, carrying out image stabilization processing of a YUV space based on the Harris angular point and defogging processing based on a multiscale Retinex algorithm with colors on an image collected in real time, and recovering a clear image without jitter; and B, realizing effective combination of defogging on the YUV space and the image stabilization and optimizing the algorithm based on an embedded system characteristic. By using the method, the jitter of the shooting video can be effectively eliminated, clear scene information can be obtained and a visual effect of the image is improved; and simultaneously, a real-time operation speed can be reached so that a good application value is provided for a real-time monitoring system.

Description

technical field [0001] The invention provides an embedded real-time video image stabilization method in foggy weather, which is suitable for jittery video shooting in foggy weather, and belongs to the field of image information processing technology. Background technique [0002] Videos taken by outdoor monitoring in foggy days, in addition to the blurring caused by the scattering of tiny particles in the atmosphere, also have the problem of shaking. In addition to affecting the observation effect of the video, further processing or feature extraction of the video All have an impact. Therefore, it is of great practical significance to perform fast dehazing and deshaking processing on video. [0003] The methods of defogging mainly include the processing method based on image enhancement and the method of image restoration based on physical model. Most of the methods based on image restoration use the atmospheric scattering model proposed by McCartney to compensate the degr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/20
CPCG06T2207/10016G06T5/92G06T5/73
Inventor 王洪玉杨梦雯
Owner DALIAN UNIV OF TECH
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