Signal-to-noise properties of correlation plenoptic imaging with chaotic light

Year: 2019

Authors: Scala G., D’Angelo M., Garuccio A., Pascazio, S., Pepe FV.

Autors Affiliation: Univ Bari, Dipartimento Interateneo Fis, I-70126 Bari, Italy; INFN, Sez Bari, I-70125 Bari, Italy; CNR, INO, I-50125 Florence, Italy

Abstract: Correlation plenoptic imaging (CPI) is an imaging technique that exploits the correlations between the intensity fluctuations of light to perform the typical tasks of plenoptic imaging (namely, refocusing out-of-focus parts of the scene, extending the depth of field, and performing three-dimensional reconstruction) without entailing a loss of spatial resolution. Here, we consider two different CPI schemes based on chaotic light, both employing ghost imaging: the first one to image the object, the second one to image the focusing element. We characterize their noise properties in terms of the signal-to-noise ratio (SNR) and compare their performances. We find that the SNR can be significantly easier to control in the second CPI scheme involving standard imaging of the object; under adequate conditions, this scheme enables the number of frames for achieving the same SNR to be reduced by 1 order of magnitude.


Volume: 99 (5)      Pages from: 053808-1  to: 053808-11

DOI: 10.1103/PhysRevA.99.053808

Citations: 10
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2022-05-22
References taken from IsiWeb of Knowledge: (subscribers only)
Connecting to view paper tab on IsiWeb: Click here
Connecting to view citations from IsiWeb: Click here