Compressive ghost imaging

Ori Katz*, Yaron Bromberg, Yaron Silberberg

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

847 Scopus citations


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.

Original languageAmerican English
Article number131110
JournalApplied Physics Letters
Issue number13
StatePublished - 2009
Externally publishedYes


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