基于区域滤波的模糊星图复原方法

王军; 何昕; 魏仲慧; 穆治亚; 吕游; 何家维

doi:10.3788/CO.20191202.0321

Volume 12 Issue 2

Apr. 2019

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Article Contents

Chinese Optics > 2019 > 12(2): 321-331.

WANG Jun, HE Xin, WEI Zhong-hui, MU Zhi-ya, LV You, HE Jia-wei. Restoration method for blurred star images based on region filters[J]. Chinese Optics, 2019, 12(2): 321-331. doi: 10.3788/CO.20191202.0321

Citation:

WANG Jun, HE Xin, WEI Zhong-hui, MU Zhi-ya, LV You, HE Jia-wei. Restoration method for blurred star images based on region filters[J]. Chinese Optics, 2019, 12(2): 321-331. doi: 10.3788/CO.20191202.0321

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Restoration method for blurred star images based on region filters

doi: 10.3788/CO.20191202.0321

WANG Jun^{1, 2
,
,},
HE Xin^1
,,
WEI Zhong-hui¹,
MU Zhi-ya¹,
LV You¹,
HE Jia-wei¹

1.
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds:

National Natural Science Foundation of China 51605465

More Information

Corresponding author: E-mail:wangjun114@mails.ucas.ac.cn
Received Date: 30 Jan 2018
Rev Recd Date: 11 Feb 2018
Publish Date: 01 Apr 2019

Abstract

Abstract

Under the dynamic working conditions for a star sensor, motion blur will appear in a star because of its energy dispersion in the process of imaging, which leads to a decrease in the signal to noise ratio(SNR) and makes the blurred region difficult to extract. Meanwhile, this causes a degradation in star centroid positon accuracy and attitude accuracy in the star sensor. Therefore, a restoration method for blurred star images based on region filters is presented in this paper, which simultaneously concentrates on the improvement of SNR and star centroid accuracy. Firstly, the kinematic models of a star centroid under different conditions are set up based on the characteristics of star sensors. Secondly, the motion trail of star centroid is determined based on the kinematic model, allowing the star blurred region to be extracted. The images inside and outside the star blurred region are then preprocessed by image processing algorithm respectively. Finally, the blurred star image is restored by an image restoration algorithm. The experiment results indicate that under the dynamic condition of 2°/s, the region filter algorithm can effectively improve the SNR of a blurred star image. In restored images, the error of star centroid is less than 0.1 pixels, which can satisfy the requirements for star sensor of high centroid accuracy.
- star sensor,
- motion blur,
- region filter,
- image restoration

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References(25)

References

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