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Compressive Light Field Sensing

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6 Author(s)
Babacan, S.D. ; Beckman Inst. for Adv. Sci. & Technol., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA ; Ansorge, R. ; Luessi, M. ; Mataran, P.R.
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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.

Published in:

Image Processing, IEEE Transactions on  (Volume:21 ,  Issue: 12 )

Date of Publication:

Dec. 2012

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