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Proceedings Paper

Motion blurred image restoration based on joint transform correlator
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Paper Abstract

To restore the motion blurred image caused by various vibration and attitude variation in remote imaging, an approach is presented which is based on joint transform correlator (JTC). An auxiliary high-speed CCD is used to capture image sequences When the prime CCD is imaging in exposure period, these image sequences are optically calculated by JTC system, and image motion vector can be effectively detected and point spread function is accurately modeled instantaneously, it will alleviate greatly the complexity of image restoration algorithm. Finally, a simple restoration algorithm is proposed to restore the blurred image. We have also constructed an image restoration system based on joint transform correlator. The experimental results show that the proposed method has improved image quality greatly.

Paper Details

Date Published: 29 October 2014
PDF: 8 pages
Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92733B (29 October 2014); doi: 10.1117/12.2070813
Show Author Affiliations
Xue-ting Hong, Zhejiang Normal Univ. (China)
Key Lab. of Optical Information Detecting and Display Technology (China)
Yi-xian Qian, Zhejiang Normal Univ. (China)
Key Lab. of Optical Information Detecting and Display Technology (China)
Xiao-wei Shi, Zhejiang Normal Univ. (China)
Key Lab. of Optical Information Detecting and Display Technology (China)
Deng-hui Li, Zhejiang Normal Univ. (China)
Key Lab. of Optical Information Detecting and Display Technology (China)


Published in SPIE Proceedings Vol. 9273:
Optoelectronic Imaging and Multimedia Technology III
Qionghai Dai; Tsutomu Shimura, Editor(s)

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