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Correlation plenoptic imaging (CPI) is a scanning-free diffraction-limited 3Doptical imaging technique exploiting the peculiar properties of correlatedlight sources. CPI has been further extended to samples of interest tomicroscopy, such as fluorescent or scattering objects, in a modifiedarchitecture named correlation light-field microscopy (CLM). Interestingly,experiments have shown that the noise performances of CLM are significantlyimproved over the original CPI scheme, leading to better images and fasteracquisition. In this work, we provide a theoretical foundation to suchadvantage by investigating the properties of both the signal-to-noise and thesignal-to-background ratios of CLM and the original CPI setup.

Comparative analysis of signal-to-noise ratio in correlation plenoptic imaging architectures