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231224s2012 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2012.2210237
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|a eng
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|a Babacan, S Derin
|e verfasserin
|4 aut
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| 245 |
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|a Compressive light field sensing
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|c 2012
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 13.05.2013
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|a Date Revised 29.11.2012
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a We propose a novel design for light field image acquisition based on compressive sensing principles. By placing a randomly coded mask at the aperture of a camera, incoherent measurements of the light passing through different parts of the lens are encoded in the captured images. Each captured image is a random linear combination of different angular views of a scene. The encoded images are then used to recover the original light field image via a novel Bayesian reconstruction algorithm. Using the principles of compressive sensing, we show that light field images with a large number of angular views can be recovered from only a few acquisitions. Moreover, the proposed acquisition and recovery method provides light field images with high spatial resolution and signal-to-noise-ratio, and therefore is not affected by limitations common to existing light field camera designs. We present a prototype camera design based on the proposed framework by modifying a regular digital camera. Finally, we demonstrate the effectiveness of the proposed system using experimental results with both synthetic and real images
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 700 |
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|a Ansorge, Reto
|e verfasserin
|4 aut
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| 700 |
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|a Luessi, Martin
|e verfasserin
|4 aut
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| 700 |
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|a Matarán, Pablo Ruiz
|e verfasserin
|4 aut
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| 700 |
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|a Molina, Rafael
|e verfasserin
|4 aut
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|a Katsaggelos, Aggelos K
|e verfasserin
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|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 21(2012), 12 vom: 15. Dez., Seite 4746-57
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|g year:2012
|g number:12
|g day:15
|g month:12
|g pages:4746-57
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|u http://dx.doi.org/10.1109/TIP.2012.2210237
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