Compressive sensing of light fields

Authors:
S. Derin Babacan;Reto Ansorge;Martin Luessi;Rafael Molina;Aggelos K. Katsaggelos
Affiliations:
EECS Department, Northwestern University, Evanston, IL;EECS Department, Northwestern University, Evanston, IL;EECS Department, Northwestern University, Evanston, IL;Departamento de Ciencias de la Computación e I.A., Universidad de Granada, Granada, Spain;EECS Department, Northwestern University, Evanston, IL
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

We propose a novel camera design for light field image acquisition using compressive sensing. By utilizing a randomly coded nonrefractive mask in front of the aperture, incoherent measurements of the light passing through different regions are encoded in the captured images. A novel reconstruction algorithm is proposed to recover the original light field image from these acquisitions. Using the principles of compressive sensing, we demonstrate that light field images with high angular dimension can be captured with only a few acquisitions. Moreover, the proposed design provides images with high spatial resolution and signal-to-noise-ratio (SNR), and therefore does not suffer from limitations common to existing light-field camera designs. Experimental results demonstrate the efficiency of the proposed system.