Motion deblurring based on local temporal compressive sensing for remote sensing image

Tang Chaoying; Chen Yueting; Feng HuajunXu ZhihaiLi Qi

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Motion deblurring based on local temporal compressive sensing for remote sensing image

机译：Motion deblurring based on local temporal compressive sensing for remote sensing image

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摘要

This paper presents a motion deblurring method which can obtain both the motion information and the recovered image based on local temporal compressive photography. In this method, video blocks are reconstructed at the corners of the image sensor during a single exposure period. The displacement vector, which will be used to build the prior point spread function (PSF) for image deblurring, is then estimated from the reconstructed videos. With the use of the prior PSF, better recovered images can be obtained with much less iteration. An experiment system is also presented to validate the effectiveness of the proposed method. The experimental results show that the proposed method could provide recovered images of high quality. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)

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来源
《Optical Engineering》 |2016年第9期|093106-1-093106-11|共11页
作者
Tang Chaoying; Chen Yueting; Feng HuajunXu ZhihaiLi Qi;
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作者单位

Zhejiang Univ, Coll Opt Sci & Engn, State Key Lab Modern Opt Instrumentat, Room 245,Teaching Bldg 3,Zheda Rd, Hangzhou 310027, Zhejiang, Peoples R China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类计量学;光学仪器;
关键词
image restoration; motion detection; compressive sensing; coded exposure; video reconstruction;

Motion deblurring based on local temporal compressive sensing for remote sensing image

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