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  4. Sub-pixel Layout for Super-Resolution with Images in the Octic Group

Sub-pixel Layout for Super-Resolution with Images in the Octic Group

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Author(s)
Shi, Boxin
•
Zhao, Hang
•
Ben-Ezra, Moshe
•
Yeung, Sai-Kit
•
Fernandez-Cull, Christy
•
Shepard, R. Hamilton
•
Barsi, Christopher
•
Raskar, Ramesh
Date Issued
2014
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.
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Author's final manuscript
Abstract
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
MIT Department
Lincoln Laboratory
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/92840
DOI of Published Version
https://doi.org/10.1007/978-3-319-10590-1_17
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