Real-time restoration for motion blurred in aerial E-O imaging system
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Real-time restoration for motion blurred in aerial E-O imaging system
Optics and Precision EngineeringVol. 15, Issue 8, Pages: 1287-1292(2007)
作者机构:
1. 中国科学院 长春光学精密机械与物理研究所,吉林 长春,中国,130033
2. 中国科学院 研究生院 北京,100039
作者简介:
基金信息:
DOI:
CLC:V247.5;TP391.4
Received:20 May 2007,
Revised:25 July 2007,
Published Online:30 August 2007,
Published:30 August 2007
稿件说明:
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LI Shi, ZHANG Bao, SUN Hui. Real-time restoration for motion blurred in aerial E-O imaging system[J]. Optics and precision engineering, 2007, 15(8): 1287-1292.
DOI:
LI Shi, ZHANG Bao, SUN Hui. Real-time restoration for motion blurred in aerial E-O imaging system[J]. Optics and precision engineering, 2007, 15(8): 1287-1292.DOI:
Real-time restoration for motion blurred in aerial E-O imaging system
Based on the conjugate symmetric frequency spectrum of Complex Discrete Fourier Transformation (CDFT) and the conventional Real Discrete Fourier Transformation(RDFT)
a modified RDFT is implemented in Wiener filter to restore aerial images degraded by motion or vibration. A horizontal rectilinear motion blurred image of 512×512 size and 8 bits as the test image in experiment can be restored by one dimensional Wiener filter and improved RDFT in 19 ms by an Intel Pentium 43.0 GHz CPU to meet real time requirement. Experiment results show that the modified RDFT efficiently reduce the data in the frequency spectrum of CDFT
which halves the storage space and nearly doubles the computational speed of the image restoration by Wiener filter. Meanwhile
compared with CDFT
the improved RDFT does not lose the data of frequency spectrum in the same restoration precision.