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Compressive Light Field Imaging Amit Ashoka and Mark A. Neifelda,b

Summary: Compressive Light Field Imaging
Amit Ashoka and Mark A. Neifelda,b
aDepartment of Electrical and Computer Engineering, 1230 E. Speedway Blvd.,
University of Arizona, Tucson, AZ 85721 USA;
b College of Optical Sciences, 1630 E. University Blvd.,
University of Arizona, Tucson, AZ 85721, USA
Light field imagers such as the plenoptic and the integral imagers inherently measure projections of the four
dimensional (4D) light field scalar function onto a two dimensional sensor and therefore, suffer from a spatial
vs. angular resolution trade-off. Programmable light field imagers, proposed recently, overcome this spatio-
angular resolution trade-off and allow high-resolution capture of the (4D) light field function with multiple
measurements at the cost of a longer exposure time. However, these light field imagers do not exploit the
spatio-angular correlations inherent in the light fields of natural scenes and thus result in photon-inefficient
measurements. Here, we describe two architectures for compressive light field imaging that require relatively few
photon-efficient measurements to obtain a high-resolution estimate of the light field while reducing the overall
exposure time. Our simulation study shows that, compressive light field imagers using the principal component
(PC) measurement basis require four times fewer measurements and three times shorter exposure time compared
to a conventional light field imager in order to achieve an equivalent light field reconstruction quality.
Keywords: Compressive imaging, Light Field, Principal Component, Hadamard.


Source: Ashok, Amit - Department of Electrical and Computer Engineering, University of Arizona


Collections: Engineering