Forming images using conditioned partial measurements from reference arm in ghost imaging

Physics – Optics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

submitted version

Scientific paper

A recent thermal ghost imaging experiment by Wu's group constructed positive and negative images using a novel algorithm. This algorithm allows to form the images with use of partial measurements from the reference arm, even which never passes through the object, conditioned on the object arm. In this paper, we present a simple theory which explains the experimental observation, and provides an in-depth understanding of conventional ghost imaging. In particular, we theoretically show that the visibility of formed images through such an algorithm is not bounded by the standard value 1/3. In fact, it can ideally grow up to unity (with reduced imaging quality). Thus, the algorithm described here not only offers an alternative way to decode spatial correlation of thermal light, but also mimics a "bandpass filter" to remove the constant background such that the visibility or imaging contrast is improved. We further show that conditioned on one still object present in the test arm, it is possible to construct its image by sampling the available reference data.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Forming images using conditioned partial measurements from reference arm in ghost imaging does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Forming images using conditioned partial measurements from reference arm in ghost imaging, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Forming images using conditioned partial measurements from reference arm in ghost imaging will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-543123

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.