Sub-pixel Layout for Super-Resolution with Images in the Octic Group
Author(s)
Shi, Boxin; Zhao, Hang; Ben-Ezra, Moshe; Yeung, Sai-Kit; Fernandez-Cull, Christy; Shepard, R. Hamilton; Barsi, Christopher; Raskar, Ramesh; ... Show more Show less
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This paper presents a novel super-resolution framework by exploring the properties of non-conventional pixel layouts and shapes. We show that recording multiple images, transformed in the octic group, with a sensor of asymmetric sub-pixel layout increases the spatial sampling compared to a conventional sensor with a rectilinear grid of pixels and hence increases the image resolution. We further prove a theoretical bound for achieving well-posed super-resolution with a designated magnification factor w.r.t. the number and distribution of sub-pixels. We also propose strategies for selecting good sub-pixel layouts and effective super-resolution algorithms for our setup. The experimental results validate the proposed theory and solution, which have the potential to guide the future CCD layout design with super-resolution functionality.
Description
13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I
Date issued
2014Department
Lincoln Laboratory; Massachusetts Institute of Technology. Media Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology)Journal
Computer Vision – ECCV 2014
Publisher
Springer-Verlag Berlin Heidelberg
Citation
Shi, Boxin, Hang Zhao, Moshe Ben-Ezra, Sai-Kit Yeung, Christy Fernandez-Cull, R. Hamilton Shepard, Christopher Barsi, and Ramesh Raskar. “Sub-Pixel Layout for Super-Resolution with Images in the Octic Group.” Computer Vision--ECCV 2014. D. Fleet et al. (Eds.). LNCS Vol. 8689. Berlin, Heidelberg: Springer, 2014. pp. 250-264.
Version: Author's final manuscript
ISBN
978-3-319-10589-5
978-3-319-10590-1
ISSN
0302-9743
1611-3349