唐武盛, 隋京高, 张小亚, 张圣辉, 陈怡休, 贾辉, 杨建坤. 基于光学相关器的光学稳像器研究[J]. 应用光学, 2014, 35(6): 943-948.
引用本文: 唐武盛, 隋京高, 张小亚, 张圣辉, 陈怡休, 贾辉, 杨建坤. 基于光学相关器的光学稳像器研究[J]. 应用光学, 2014, 35(6): 943-948.
Tang Wu-sheng, Sui Jing-gao, Zhang Xiao-ya, Zhang Sheng-hui, Chen Yi-xiu, Jia Hui, Yang Jian-kun. Image stabilization based on optical correlator[J]. Journal of Applied Optics, 2014, 35(6): 943-948.
Citation: Tang Wu-sheng, Sui Jing-gao, Zhang Xiao-ya, Zhang Sheng-hui, Chen Yi-xiu, Jia Hui, Yang Jian-kun. Image stabilization based on optical correlator[J]. Journal of Applied Optics, 2014, 35(6): 943-948.

基于光学相关器的光学稳像器研究

Image stabilization based on optical correlator

  • 摘要: 为了突破传统电子稳像和机械稳像技术在处理速度、精度等方面的局限性,提出基于光学相关器的稳像技术,旨在实现对高速视频的实时高精度光学稳像。系统使用光学联合相关变换的方法,提取视频前后两帧变换后的相关峰,给出两帧的位移差值,通过改进后的补偿算法进行实时稳像。基于光学相关器的光学稳像器能够实现平移和旋转稳像,通过仿真和实验分析,平移稳像的精度可以达到0.1个像元(改进补偿算法后可达0.04个像元),旋转稳像的精度可达0.1。

     

    Abstract: Compared to conventional electronic and mechanical image stabilization techniques, the image stabilization technology based on optical correlator could process data rapidly and ensure high accuracy. With optical joint transform correlation, the displacement difference of two adjacent frames would be obtained. Through extracting the relevant peak position, translational and rotational stabilization could be implemented, and with the experimental analysis, the accuracy of translational stabilization could be achieved 0.1 pixels (after improvements of compensation algorithm, it could be up to 0.04 pixels), and the accuracy of rotational stabilization could be up to 0.1 .

     

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