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Real-time digital image stabilization based on regional field image gray projection

Real-time digital image stabilization based on regional field image gray projection

作     者:Weiping Yang Zhilong Zhang Yan Zhang Xinping Lu Jicheng Li Zhiguang Shi 

作者机构:School of Electronic Science and EngineeringNational University of Defence Technology 

出 版 物:《Journal of Systems Engineering and Electronics》 (系统工程与电子技术(英文版))

年 卷 期:2016年第27卷第1期

页      面:224-231页

核心收录:

学科分类:0711[理学-系统科学] 07[理学] 08[工学] 080203[工学-机械设计及理论] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0802[工学-机械工程] 

基  金:supported by the National Natural Science Foundation of China(61101185 61302145) 

主  题:image dithering field based processing electronic image stabilization regional gray projection minimum absolute difference. 

摘      要:Digital image stabilization technique plays important roles in video surveillance and object *** useful electronic image stabilization algorithms have been studied.A real-time algorithm is proposed based on field image gray projection which enables the regional odd and even field image to be projected into x and y directions and thus to get the regional gray projection curves in x and y directions,*** the odd field image channel,motion parameters can be estimated via iterative minimum absolute difference based on two successive field image regional gray projection *** motion compensations can be obtained after using the Kalman filter ***,the odd field image is adjusted according to the *** the mean time,motion compensation is applied to the even field image channel with the odd field image gray projection curves of the current *** minimizing absolute difference between odd and even field image gray projection curves of the current frame,the inter-field motion parameters can be ***,the even field image can be adjusted by combining the inter-field motion parameters and the odd field ***,the stabilized image sequence can be obtained by synthesizing the adjusted odd and even field *** results show that the proposed algorithm can run in real-time and have a good stabilization *** addition,image blurring can be improved.

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