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A super-resolution imaging system based on sub-pixel camera shifting
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Paper Abstract

In subpixel shift super-resolution (SR) imaging, accurate sub-pixel image registration is a key issue. Traditional superresolution reconstruction methods use a motion estimation algorithm to estimate a shift, and then adopt different methods for SR image reconstruct. In this paper, we focus on designing a SR imaging system, in which instead of moving a camera only, the imaging lens before the camera is also moved. By doing so, we reduce the shifting resolution requirement. As the camera with the lens move 13μm, the image moves 1μm. A set of 16 or 9 low-resolution (LR) images of a scene are captured with the system. The sub-pixel shifts between these LR images are 1μm and 2μm, respectively. Then Projection onto Convex Sets (POCS) algorithm is used to reconstruct the SR image. The results show much higher spatial resolution comparing to the LR images.

Paper Details

Date Published: 8 November 2018
PDF: 9 pages
Proc. SPIE 10817, Optoelectronic Imaging and Multimedia Technology V, 108170S (8 November 2018); doi: 10.1117/12.2500325
Show Author Affiliations
Gangping Liu, Beijing Institute of Technology (China)
Key Lab. of Photo-electronic Imaging Technology and System (China)
Qun Zhou, Beijing Institute of Technology (China)
Key Lab. of Photo-electronic Imaging Technology and System (China)
Linxia Zhang, Beijing Institute of Technology (China)
Key Lab. of Photo-electronic Imaging Technology and System (China)
Jun Ke, Beijing Institute of Technology (China)
Key Lab. of Photo-electronic Imaging Technology and System (China)


Published in SPIE Proceedings Vol. 10817:
Optoelectronic Imaging and Multimedia Technology V
Qionghai Dai; Tsutomu Shimura, Editor(s)

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