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An Embedded Foggy Real-time Video Stabilization Method

A real-time video and embedded technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as video blur and jitter, and achieve the effect of improving contrast and reducing complexity

Active Publication Date: 2019-04-09
DALIAN UNIV OF TECH
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  • Claims
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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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  • An Embedded Foggy Real-time Video Stabilization Method
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  • An Embedded Foggy Real-time Video 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 method for real-time video image stabilization in foggy weather, which solves the problems of jitter and contrast reduction in foggy weather videos. The method of the present invention includes the following steps: A. Apply Harris corner point-based video image stabilization and Retinex algorithm with color restoration to foggy video processing in an embedded system at the same time. Perform image stabilization processing based on Harris corner points in the YUV space and dehazing processing based on the multi-scale Retinex algorithm with color on the images collected in real time to restore clear and jitter-free images; B. Realize dehazing and stabilization in the YUV space The image is effectively combined and the algorithm is optimized based on the characteristics of the embedded system. The invention can not only effectively eliminate jitter in the captured video, but also obtain clear scene information and improve the visual effect of the image. At the same time, it can achieve real-time running speed, thereby providing good application value for the 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 Patents(China)
IPC IPC(8): G06T5/00G06T7/277
CPCG06T2207/10016G06T5/92G06T5/73
Inventor 王洪玉杨梦雯
Owner DALIAN UNIV OF TECH
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