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8 November 2018 A super-resolution imaging system based on sub-pixel camera shifting
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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.
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Gangping Liu, Qun Zhou II, Linxia Zhang, and Jun Ke "A super-resolution imaging system based on sub-pixel camera shifting", Proc. SPIE 10817, Optoelectronic Imaging and Multimedia Technology V, 108170S (8 November 2018);

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