Compressive ghost imaging

Ori Katz; Yaron Bromberg; Yaron Silberberg

doi:10.1063/1.3238296

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arXiv · 0905.0321

Compressive ghost imaging

Ori Katz·Yaron Bromberg·Yaron Silberberg

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Abstract

We describe an advanced image reconstruction algorithm for pseudothermal ghost imaging, reducing the number of measurements required for image recovery by an order of magnitude. The algorithm is based on compressed sensing, a technique that enables the reconstruction of an N-pixel image from much less than N measurements. We demonstrate the algorithm using experimental data from a pseudothermal ghost-imaging setup. The algorithm can be applied to data taken from past pseudothermal ghost-imaging experiments, improving the reconstruction's quality.

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BibTeX RIS

Ori Katz, Yaron Bromberg, Yaron Silberberg. 2009-08-09. Compressive ghost imaging. https://doi.org/10.1063/1.3238296

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