Compressive light field photography using overcomplete dictionaries and optimized projections
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CompressiveLightFieldPhotography.pdf
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14.59 MB
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Author(s)
Marwah, Kshitij
Wetzstein, Gordon
Bando, Yosuke
Raskar, Ramesh
Date Issued
July 2013
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery
Citation
Marwah, Kshitij, Gordon Wetzstein, Yosuke Bando, and Ramesh Raskar. “Compressive Light Field Photography Using Overcomplete Dictionaries and Optimized Projections.” ACM Transactions on Graphics 32, no. 4 (July 1, 2013): 1.
Version
Author's final manuscript
Abstract
Light field photography has gained a significant research interest in the last two decades; today, commercial light field cameras are widely available. Nevertheless, most existing acquisition approaches either multiplex a low-resolution light field into a single 2D sensor image or require multiple photographs to be taken for acquiring a high-resolution light field. We propose a compressive light field camera architecture that allows for higher-resolution light fields to be recovered than previously possible from a single image. The proposed architecture comprises three key components: light field atoms as a sparse representation of natural light fields, an optical design that allows for capturing optimized 2D light field projections, and robust sparse reconstruction methods to recover a 4D light field from a single coded 2D projection. In addition, we demonstrate a variety of other applications for light field atoms and sparse coding, including 4D light field compression and denoising.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1145/2461912.2461914
