Share Email Print
cover

Proceedings Paper

A real-time gray projection algorithm for electronic image stabilization
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Electronic digital image stabilization technique plays important roles in video surveillance or object acquisition. Researchers have presented many useful algorithms, which can be classified to three kinds: gray based methods, transformation based methods and feature based methods. When scenario is simple or flat, feature based methods sometimes have imperfect results. Transformation based methods usually accompany large computation cost and high computation complexity. Here we presented an algorithm based on gray projection which divided the whole image into four sub-regions: the upper one, the bottom one, the left one and the right one. For making the translation estimation easier, a central region is also chosen. Then the gray projections of the five sub-regions were counted. From the five pairs of gray projections five group offsets including rotation and translation were obtained via cross correlation between current frame and reference frame gray projections. Then according to the above offsets, the required parameters can be estimated. The expected translation parameters(x axis offset and y axis offset) can be estimated via the offsets from the central region image pair, the rotation angle can be calculated from the left four groups offsets. Finally, Kalman filter was adopted to compute the compensation. Test results show that the algorithm has good estimation performance with less than one pixel translation error and 10 percent rotation error. Based on this kind of gray projection algorithm, a real-time electronic digital image stabilization system has been designed and implemented. System tests demonstrate the system performance reaches the expected aim.

Paper Details

Date Published: 8 September 2011
PDF: 9 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81932G (8 September 2011); doi: 10.1117/12.900350
Show Author Affiliations
Weiping Yang, National Univ. of Defense Technology (China)
Zhilong Zhang, National Univ. of Defense Technology (China)
Yan Zhang, National Univ. of Defense Technology (China)
Xinping Lu, National Univ. of Defense Technology (China)
Jicheng Li, National Univ. of Defense Technology (China)
Zhiquang Shi, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

© SPIE. Terms of Use
Back to Top