Motion-blurred star image restoration based on multi-frame superposition under high dynamic and long exposure conditions

被引：0
作者：
Yiyang He
Hongli Wang
Lei Feng
Sihai You
机构：
[1] Xi’an Institute of High-Tech,
来源：
Journal of Real-Time Image Processing | 2021年 / 18卷
关键词：
Multi-frame superposition; Motion recursive model; Star image restoration; Inertial navigation system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Under high dynamic and long exposure conditions, the number of recognized stars on motion-blurred star images decreases, thereby degrading the attitude accuracy of star sensors. To improve the attitude accuracy, a restoration method based on multi-frame superposition, which focuses on the noise removal and quality of restored star images, is proposed for a star sensor. During each short exposure time, the corrected coordinate variation of the same star spot between adjacent star images is determined using a motion recursive model. Subsequently, the corrected star spot region is obtained, and the noise is removed. A restoration algorithm based on multi-frame superposition is proposed, taking the time consumption and quality of restored star image considered simultaneously. Simulation results indicate that the proposed restoration method based on multi-frame superposition is effective in removing noise and improving the quality of restored star images. The star recognition rate in simulation experiments verifies the advantages of the proposed method.
引用
收藏
页码：1477 / 1491
页数：14
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