Refocusing Algorithm for Correlation Plenoptic Imaging

Correlation plenoptic imaging (CPI) is a technique capable of acquiring the emerging from a scene of interest, namely, the combined information of intensity and propagation direction of light. This is achieved by evaluating correlations between the photon numbers measured by two high-resolution dete...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2022-09, Vol.22 (17), p.6665
Main Authors: Massaro, Gianlorenzo, Pepe, Francesco V, D'Angelo, Milena
Format: Article
Language:English
Subjects:
3D imaging
Algorithms
Aperture
correlation imaging
Information management
Light
light-field imaging
Luminous intensity
Optics
quantum imaging
Sensors
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Summary:Correlation plenoptic imaging (CPI) is a technique capable of acquiring the emerging from a scene of interest, namely, the combined information of intensity and propagation direction of light. This is achieved by evaluating correlations between the photon numbers measured by two high-resolution detectors. Volumetric information about the object of interest is decoded, through data analysis, from the measured four-dimensional correlation function. In this paper, we investigate the relevant aspects of the refocusing algorithm, a post-processing method that isolates the image of a selected transverse plane within the 3D scene, once applied to the correlation function. In particular, we aim at bridging the gap between existing literature, which only deals with refocusing algorithms in case of continuous coordinates, and the experimental reality, in which the correlation function is available as a discrete quantity defined on the sensors pixels.
ISSN:1424-8220
1424-8220
DOI:10.3390/s22176665