Ghost imaging with a single detector

Together with Yaron Bromberg, we have experimentally demonstrated pseudothermal ghost-imaging and ghost-diffraction using only a single single-pixel detector. We achieved this by replacing the high resolution detector of the reference beam with a computation of the propagating field, following a recent proposal by Shapiro (J. H. Shapiro, arXiv:0807.2614). Since only a single detector is used, this provides an experimental evidence that pseudothermal ghost imaging does not rely on non-local quantum correlations. (http://arxiv.org/abs/0812.2633)

  “Ghost imaging with a single detector” Yaron Bromberg, Ori Katz and Yaron Silberberg, Phy. Rev. A 79, 053840 (2009) PDF

 

Reconstruction movie.wmv

Reconstruction movie.mov

 A movie demonstrating the computational 'virtual focusing' capability of computational GI, using only a single set of measurements:

 

Computational virtual focusing clip.avi

   

Ghost imaging via Compressive Sensing

 We have presented an advanced image reconstruction algorithm for pseudothermal ghost imaging based on ‘compressed sensing’, reducing the number of measurements required for image recovery by an order of magnitude. The algorithm is based on compressed sensing (a.k.a compressive sensing / sampling), a technique that enables the reconstruction of an N-pixel image from much less than N measurements. We demonstrate the algorithm using GPSR compressed-sensing l-1 minimization (http://www.lx.it.pt/~mtf/GPSR/) on our single-detector ghost imaging experimental results.

The algorithm can be applied to data taken from past pseudothermal ghost-imaging experiments, improving the reconstruction’s quality, and enabling reconstruction at sub-Nyquist (/Shannon) sample rate.

  “Compressive ghost imaging”, Ori Katz, Yaron Bromberg and Yaron Silberberg, Appl. Phys. Lett. 95, 131110  (2009). PDF