Signal-to-noise ratio in correlation plenoptic imaging

Giovanni Scala; Gianlorenzo Massaro; Milena D'Angelo; Augusto Garuccio; Saverio Pascazio; Francesco V. Pepe

doi:10.1117/12.2555701

14 April 2020 Signal-to-noise ratio in correlation plenoptic imaging

Giovanni Scala, Gianlorenzo Massaro, Milena D'Angelo, Augusto Garuccio, Saverio Pascazio, Francesco V. Pepe

Proceedings Volume 11347, Quantum Technologies 2020; 1134713 (2020) https://doi.org/10.1117/12.2555701
Event: SPIE Photonics Europe, 2020, Online Only

Abstract

We review the signal-to-noise properties of two setups for Correlation Plenoptic Imaging (CPI), a novel technique that exploits the correlations of light intensity to perform the typical tasks of plenoptic imaging: refocusing out-of- focus parts of the scene, extending the depth of field, reconstruct 3D objects, As opposed to first-order plenoptic imaging, based on direct intensity measurement, CPI does not entail a loss of spatial resolution. Both setups are based on the properties of chaotic light and employ the concept of ghost imaging in different ways: the first one to image the object, the second one to image the focusing element. We show that the SNR can be easier to control in the second CPI scheme, in which the object is focused by a lens.

Conference Presentation

Citation Download Citation

Giovanni Scala, Gianlorenzo Massaro, Milena D'Angelo, Augusto Garuccio, Saverio Pascazio, and Francesco V. Pepe "Signal-to-noise ratio in correlation plenoptic imaging", Proc. SPIE 11347, Quantum Technologies 2020, 1134713 (14 April 2020); https://doi.org/10.1117/12.2555701

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