Signal-to-noise properties of correlation plenoptic imaging with chaotic light
Anno: 2019
Autori: Scala G., D’Angelo M., Garuccio A., Pascazio, S., Pepe FV.
Affiliazione autori: 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.
Giornale/Rivista: PHYSICAL REVIEW A
Volume: 99 (5) Da Pagina: 053808-1 A: 053808-11
Maggiori informazioni: M.D., A.G., and F.V.P. are supported by Istituto Nazionale di Fisica Nucleare (INFN) through the project “PICS.” M.D., A.G., S.P., and G.S. are supported by Istituto Nazionale di Fisica Nucleare (INFN) through the project “QUANTUM.´ A.G. and M.D. are supported by the Italian Ministry of Education, University and Research (MIUR) through project PON Ricerca e Innovazione ARS01_00141.Parole chiavi: QUANTUM; MICROSCOPYDOI: 10.1103/PhysRevA.99.053808Citazioni: 21dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-04-21Riferimenti tratti da Isi Web of Knowledge: (solo abbonati) Link per visualizzare la scheda su IsiWeb: Clicca quiLink per visualizzare la citazioni su IsiWeb: Clicca qui