Abstract
We propose a simplest way of capturing multispectral 2D elemental images (EIs) in the computational integral imaging using compressive sensing (CS). Simulations show that the performance of 3D systems remains superior even when EIs are recovered from the sparse samples.
© 2015 Optical Society of America
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