20 October 2015 Fast image restoration method based on coded exposure and vibration detection
Lirong He, Guangmang Cui, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen
Author Affiliations +
Abstract
Fast image restoration method is proposed for vibration image deblurring based on coded exposure and vibration detection. The criterion of the code sequence selection is discussed in detail, and several factors are considered to search for the optimal coded exposure sequence. The blurred vibration image is obtained by the coded exposure technique. Meanwhile, the vibration track information of the camera is detected by a fiber-optic gyroscope. The point spread function (PSF) is estimated using a statistical method with the selected code sequence and vibration track information. Finally, the blurred image is quickly restored with the estimated PSF through a direct inverse filtering method. Simulation experiments are conducted to test the performance of the approach with different vibration forms. A real imaging system is constructed to verify the effectiveness of the proposed algorithm. Experimental results show that the presented algorithm could yield better subjective experiences and superior objective evaluation values.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2015/$25.00 © 2015 SPIE
Lirong He, Guangmang Cui, Huajun Feng, Zhihai Xu, Qi Li, and Yueting Chen "Fast image restoration method based on coded exposure and vibration detection," Optical Engineering 54(10), 103107 (20 October 2015). https://doi.org/10.1117/1.OE.54.10.103107
Published: 20 October 2015
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image restoration

Point spread functions

Image processing

Signal to noise ratio

Cameras

Fiber optic gyroscopes

Fiber optics

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