Scanning image stabilizing algorithm: Predicting scanning motion and jumping in advance

WANG Peng; ZHAO Yue-jin; KONG Ling-qin; LI Bing; DONG Li-quan

doi:10.3788/OPE.20122010.2268

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Scanning image stabilizing algorithm: Predicting scanning motion and jumping in advance

Article | 更新时间：2020-08-12

- Scanning image stabilizing algorithm: Predicting scanning motion and jumping in advance
- Optics and Precision Engineering Vol. 20, Issue 10, Pages: 2268-2274(2012)
- 作者机构：
  
  北京理工大学光电学院北京,中国,100081
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20122010.2268
  CLC： TN941.1;TP391
- Received：09 April 2012，
  
  Revised：05 June 2012，
  
  Published：10 October 2012
- 稿件说明：
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王鹏, 赵跃进, 孔令琴, 李冰, 董立泉. 预测扫描提前跳转的电子稳像方法[J]. 光学精密工程, 2012,20(10): 2268-2274

WANG Peng, ZHAO Yue-jin, KONG Ling-qin, LI Bing, DONG Li-quan. Scanning image stabilizing algorithm: Predicting scanning motion and jumping in advance[J]. Editorial Office of Optics and Precision Engineering, 2012,20(10): 2268-2274
王鹏, 赵跃进, 孔令琴, 李冰, 董立泉. 预测扫描提前跳转的电子稳像方法[J]. 光学精密工程, 2012,20(10): 2268-2274 DOI： 10.3788/OPE.20122010.2268.

WANG Peng, ZHAO Yue-jin, KONG Ling-qin, LI Bing, DONG Li-quan. Scanning image stabilizing algorithm: Predicting scanning motion and jumping in advance[J]. Editorial Office of Optics and Precision Engineering, 2012,20(10): 2268-2274 DOI： 10.3788/OPE.20122010.2268.

摘要

提出一种基于传感器电子稳像技术的扫描稳像方法预测扫描提前跳转法

用以处理电子稳像过程中摄像系统的扫描运动问题。首先

利用传感器敏感摄像系统运动

实现对图像序列帧间偏移量的估计

并根据估计偏移量预测图像序列是否存在扫描运动;然后

对存在扫描运动的图像将参考帧提前跳转到扫描后位置

再运用稳像算法进行处理。该方法通过提前跳转参考帧将扫描模式下的稳像过程简化为不存在扫描运动的稳像过程

简化了扫描稳像的数学模型

降低了算法复杂度

同时通过跳转步长的设置和缓存参考帧技术进一步提高了算法的准确度和可靠性。实验结果表明

该方法可在输出稳定图像的同时正确显示视频序列的扫描运动。

Abstract

A novel scanning image stabilizing algorithm

predicting scanning motion and jumping in advance

is proposed based on sensor electronic image stabilization to process active scanning and passive scanning problems in a camera system. Firstly

it uses a gyro to detect the motion situation of the camera system and estimate the offset of image sequences. Then

it judges whether the scanning motion is in the camera system based on the estimated offsets. If the scanning motion exists

the reference frame will be converted into the predicting frame which is a image after scanning. Finally

the electronic image stabilization is used to process the motion vectors of image sequences. The algorithm is different from traditional image stabilizing algorithm. It transforms the image stabilization from scanning model to un-scanning model

so it greatly simplifies the image stabilizing process and reduces the complexity of algorithm. Furthermore

the proper step size and cache reference frame improve the accuracy and reliability of the algorithm. The experimental result shows that the algorithm can output stable images

meanwhile can display the scanning motions of image sequences correctly.

关键词

Keywords

references

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