Compressive Light Field Sensing. Babacan, S. D., Ansorge, R., Luessi, M., Mataran, P. R., Molina, R., & Katsaggelos, A. K. IEEE Transactions on Image Processing, 21(12):4746–4757, IEEE, dec, 2012. ![Compressive Light Field Sensing [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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. © 1992-2012 IEEE.
@article{babacan2012compressive,
abstract = {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. {\textcopyright} 1992-2012 IEEE.},
author = {Babacan, S. Derin and Ansorge, Reto and Luessi, Martin and Mataran, Pablo Ruiz and Molina, Rafael and Katsaggelos, Aggelos K.},
doi = {10.1109/TIP.2012.2210237},
issn = {1057-7149},
journal = {IEEE Transactions on Image Processing},
keywords = {Bayesian methods,coded aperture,compressive sensing,computational photography,image reconstruction,light fields},
month = {dec},
number = {12},
pages = {4746--4757},
publisher = {IEEE},
title = {{Compressive Light Field Sensing}},
url = {http://ieeexplore.ieee.org/document/6248701/},
volume = {21},
year = {2012}
}
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