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Proceedings Paper

Regularized super resolution methods for light field images
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Paper Abstract

As the LR images from the plenoptic camera is greatly constrained by the number of micro-lenses, we can apply the multi-frame super resolution methods to enhance the spatial resolution. Multi-frame super resolution reconstruction is a technology which obtains a high resolution image from several low resolution images of the same scene. Among various super resolution methods, the regularized methods are widely used since they have advantages for solving the ill posed problems. In this paper, some regularized super resolution methods are applied to enhance the spatial resolution of the light field image. The reconstruction results of synthetic low resolution images confirm that all the regularized super resolution algorithm can suppress the Gaussian noise and preserve the edge information. The real data experiment results also confirm the effectiveness of the applied algorithms.

Paper Details

Date Published: 19 December 2013
PDF: 10 pages
Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 90450E (19 December 2013); doi: 10.1117/12.2037553
Show Author Affiliations
Shubo Zhou, Beijing Univ. of Aeronautics and Astronautics (China)
Yan Yuan, Beijing Univ. of Aeronautics and Astronautics (China)
Lijuan Su, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 9045:
2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Xinggang Lin; Jesse Zheng, Editor(s)

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