An automatic method for assembling a large synthetic aperture digital hologram
Autori: Pelagotti A., Paturzo M., Locatelli M., Geltrude A., Meucci R., Finizio A., Ferraro P.
Affiliazione autori: CNR Istituto Nazionale di Ottica—Largo E. Fermi, 6 50125 Firenze, Italy
CNR Istituto Nazionale di Ottica—Sezione di Napoli, Via Campi Flegrei, 34 80078 Pozzuoli (Napoli), Italy
Abstract: A major issue so far for digital holography is the low spatial resolution generally achieved. The numerical aperture is limited by the area of currently available detectors, such as CCD sensors, which is significantly lower than that of a holographic plate. This is an even more severe constraint when IR sensors such as microbolometers are taken into account. In order to increase the numerical aperture of such systems, we developed an automatic technique which is capable of recording several holograms and of stitching them together, obtaining a digital hologram with a synthetic but larger numerical aperture. In this way we show that more detail can be resolved and a wider parallax angle can be achieved. The method is demonstrated for visible as well IR digital holography, recording and displaying large size objects.
Giornale/Rivista: OPTICS EXPRESS
Volume: 20 (5) Da Pagina: 4830 A: 4839
Maggiori informazioni: This research was funded by the MIUR (Italian Ministry for Research and University) within the PON project IT@CHA-Italian Technologies for Advanced application in Cultural Heritage AssetsParole chiavi: Computer generated holography; Geometrical optics, Automatic method; Automatic technique; CCD sensors; Digital holograms; Digital holography; IR sensor; Large sizes; Micro-bolometers; Numerical aperture; Spatial resolution, Holograms, algorithm; article; artificial intelligence; automated pattern recognition; computer assisted diagnosis; holography; image enhancement; image subtraction; methodology; reproducibility; sensitivity and specificity; signal processing; three dimensional imaging, Algorithms; Artificial Intelligence; Holography; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction TechniqueDOI: 10.1364/OE.20.004830Citazioni: 26dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2022-09-25Riferimenti 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