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

Peng Wang, Yue Jin Zhao*, Ling Qin Kong, Bing Li, Li Quan Dong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2268-2274
Number of pages7
JournalGuangxue Jingmi Gongcheng/Optics and Precision Engineering
Volume20
Issue number10
DOIs
Publication statusPublished - Oct 2012

Keywords

  • Active scanning
  • Gyro
  • Passive scanning
  • Sensor electronic image stabilization

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