Motion-blurred star image acquisition and restoration method based on the separable kernel

DOI

10.2991/icamcs-16.2016.78How to use a DOI?

Keywords

star tracker, non-uniform motion blur, simulation, restoration.

Abstract

The star tracker is supposed to have the highest accuracy among different types of attitude measurement devices. However, images taken by the star tracker under dynamic conditions are often blurred, especially in deep space exploration, which limits its high dynamic performance and accuracy. This paper addresses how to simulate blurred star images and remove image blurs that arise when the star tracker is under dynamic conditions of angular vibrations and rotations. We classify and model star tracker’s rotation and angular vibration. After that, we simulate the blurred star images caused by composite motion of rotations and angular vibrations. After acquiring the motion-blurred star image, a restoration method is proposed to restore it. The simulation results indicate that our approach makes it possible to model and remove a wider class of blurs than previous approaches, including uniform blur as a special case and the extraction accuracy of star spot centroid is improved significantly using the restored star image compared with the blurred one.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Honglin Yuan
AU  - Fan Li
AU  - Tao Yu
PY  - 2016/06
DA  - 2016/06
TI  - Motion-blurred star image acquisition and restoration method based on the separable kernel
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 367
EP  - 371
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.78
DO  - 10.2991/icamcs-16.2016.78
ID  - Yuan2016/06
ER  -