Compressive ghost imaging by Ori Katz, Yaron Bromberg, Yaron Silberberg. The abstract reads:
We describe an advanced image reconstruction algorithm for pseudothermal ghost imaging, which reduces 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 apply the algorithm to experimental data from a pseudothermal ghost-imaging setup, and observe a substantial increase in the signal-to-noise ratio of the reconstructed images. The described technique can be used to improve the results of previous pseudothermal ghost-imaging experiments.
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