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Proceedings Paper

Super-resolved refocusing with a plenoptic camera
Author(s): Zhiliang Zhou; Yan Yuan; Xiangli Bin; Lulu Qian
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Paper Abstract

This paper presents an approach to enhance the resolution of refocused images by super resolution methods. In plenoptic imaging, we demonstrate that the raw sensor image can be divided to a number of low-resolution angular images with sub-pixel shifts between each other. The sub-pixel shift, which defines the super-resolving ability, is mathematically derived by considering the plenoptic camera as equivalent camera arrays. We implement simulation to demonstrate the imaging process of a plenoptic camera. A high-resolution image is then reconstructed using maximum a posteriori (MAP) super resolution algorithms. Without other degradation effects in simulation, the super resolved image achieves a resolution as high as predicted by the proposed model. We also build an experimental setup to acquire light fields. With traditional refocusing methods, the image is rendered at a rather low resolution. In contrast, we implement the super-resolved refocusing methods and recover an image with more spatial details. To evaluate the performance of the proposed method, we finally compare the reconstructed images using image quality metrics like peak signal to noise ratio (PSNR).

Paper Details

Date Published: 7 February 2011
PDF: 10 pages
Proc. SPIE 7873, Computational Imaging IX, 787313 (7 February 2011); doi: 10.1117/12.872447
Show Author Affiliations
Zhiliang Zhou, Univ. of Science and Technology of China (China)
Yan Yuan, BeiHang Univ. (China)
Xiangli Bin, Univ. of Science and Technology of China (China)
Academy of Opto-electronics (China)
Lulu Qian, Univ. of Science and Technology of China (China)

Published in SPIE Proceedings Vol. 7873:
Computational Imaging IX
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

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