Oct. 2011

Article Contents

Chinese Optics> 2011> 4(5): 519-524.

WU Zhi-guo, HAN Guang-liang, WANG Ming-jia. Effective image stabilization for moving background[J]. Chinese Optics, 2011, 4(5): 519-524.

Citation:

WU Zhi-guo, HAN Guang-liang, WANG Ming-jia. Effective image stabilization for moving background[J].Chinese Optics, 2011, 4(5): 519-524.

WU Zhi-guo, HAN Guang-liang, WANG Ming-jia. Effective image stabilization for moving background[J]. Chinese Optics, 2011, 4(5): 519-524.

Citation:

WU Zhi-guo, HAN Guang-liang, WANG Ming-jia. Effective image stabilization for moving background[J].Chinese Optics, 2011, 4(5): 519-524.

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Effective image stabilization for moving background

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China

Received Date:12 Jul 2011
Rev Recd Date:14 Aug 2011
Publish Date:25 Oct 2011

Abstract

Abstract

As for the image stabilization of frame and frame under a complicated movement background, we present a motion estimation algorithm with motion vector modified by gray projection. First, we separately calculate grayscale projection sequences on the row and column of a current frame and a reference frame. Second, the projection sequences of current frame are divided into blocks. Each piece of block respectively performs a cross-relation calculation with the projection curves of rows and columns of the reference frame. Then, we can obtain the motion vector sets of rows and columns based on local projection. Finally, by using the confidence degree of block area as calculation parameters of weight coefficient, we calculate the weight of each piece of pixel displacement by the parameters to calculate the weighted motion vector in one direction. The experimental results show that this method can make the impact of moving target only on the one of the several local blocks and the other blocks are not affected. It ensures the best possible image stabilization accuracy. The Root-Mean-Square Error(RMSE) values obtained by image stabilization and reference images have decreased significantly, which shows the image stabilization by this method is more consistent with that of the reference image.
- image stabilization,
- gray projection,
- background compensation,
- confidence degree

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References (1)

References

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