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Correlation Plenoptic Imaging (CPI) is a novel imaging technique, thatexploits the correlations between the intensity fluctuations of light toperform the typical tasks of plenoptic imaging (namely, refocusing out-of-focusparts of the scene, extending the depth of field, and performing 3Dreconstruction), without entailing a loss of spatial resolution. Here, weconsider two different CPI schemes based on chaotic light, both employing ghostimaging: the first one to image the object, the second one to image thefocusing element. We characterize their noise properties in terms of thesignal-to-noise ratio (SNR) and compare their performances. We find that theSNR can be significantly higher and easier to control in the second CPI scheme,involving standard imaging of the object; under adequate conditions, thisscheme enables reducing by one order of magnitude the number of frames forachieving the same SNR.

Signal-to-noise properties of correlation plenoptic imaging with chaotic light