Correlation Plenoptic Imaging: An Overview

Lena, Francesco Di; Pepe, F.; Garuccio, Augusto; D’Angelo, Milena

doi:10.3390/app8101958

Cited by 27 publications

(21 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several technologies have been developed in the field of quantum imaging, which go beyond the capabilities of standard imaging and interferometry systems [22][23][24][25][26][27][28][29][30]. * francesco.pepe@ba.infn.it Recently, a technique named Correlation Plenoptic Imaging (CPI) [31] has been shown to overcome the typical tradeoff between spatial and directional resolution of plenoptic imaging, by exploiting intensity correlations of either chaotic light [32][33][34][35] or entangled photon pairs [36]. The key idea of CPI is to encode information of the image and the direction of light in two distinct sensors: the desired information emerges by evaluating intensity correlations.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

Self Cite

View full text Add to dashboard Cite

Correlation Plenoptic Imaging (CPI) is a novel imaging technique, that exploits the correlations between the intensity fluctuations of light to perform the typical tasks of plenoptic imaging (namely, refocusing out-of-focus parts of the scene, extending the depth of field, and performing 3D reconstruction), without entailing a loss of spatial resolution. Here, we consider two different CPI schemes based on chaotic light, both employing ghost imaging: the first one to image the object, the second one to image the focusing element. We characterize their noise properties in terms of the signalto-noise ratio (SNR) and compare their performances. We find that the SNR can be significantly higher and easier to control in the second CPI scheme, involving standard imaging of the object; under adequate conditions, this scheme enables reducing by one order of magnitude the number of frames for achieving the same SNR.

show abstract

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…Further to the potential applications of quantum imaging schemes, it has been demonstrated that imaging schemes at conventional wavelengths can be improved by using quantum sources, either by enhancing the resolution or decreasing the noise of images [141,52]. Future developments in quantum imaging could come through new approaches such as quantum image processing [191] or through exploiting quantum correlations via different methods such as correlation plenoptic imaging [192]. Moreover, early demonstrations of principle of quantum imaging techniques are now more and more transforming into real world practical implementations from which new imaging technologies may emerge.…”

Section: Discussionmentioning

confidence: 99%

Imaging with quantum states of light

et al. 2019

View full text Add to dashboard Cite

The production of pairs of entangled photons simply by focusing a laser beam onto a crystal with a non-linear optical response was used to test quantum mechanics and to open new approaches in imaging. The development of the latter was enabled by the emergence of single photon sensitive cameras able to characterize spatial correlations and high-dimensional entanglement. Thereby new techniques emerged such as the ghost imaging of objectswhere the quantum correlations between photons reveal the image from photons that have never interacted with the object -or the imaging with undetected photons by using nonlinear interferometers. Additionally, quantum approaches in imaging can also lead to an improvement in the performance of conventional imaging systems. These improvements can be obtained by means of image contrast, resolution enhancement that exceed the classical limit and acquisition of sub-shot noise phase or amplitude images. In this review we discuss the application of quantum states of light for advanced imaging techniques.

show abstract

“…It allows to refocus an out of-focus image in post processing without using several detectors, multiple shots or time consuming scanning techniques. Lately a new technique, namely Correlation Plenoptic Imaging (CPI) [10], [11] has been proposed, combining GI and PI. By replacing the bucket detector in Ghost Imaging by a second detector array, directional and spatial information can be acquired simultaneously, similar to PI.…”

Section: Introductionmentioning

confidence: 99%

Classical Ghost Imaging: A Comparative Study of Algorithmic Performances for Image Reconstruction in Prospect of Plenoptic Imaging

et al. 2021

View full text Add to dashboard Cite

Ghost Imaging has been extensively explored for 25 years for a two reasons: the rich physics of second-order photon correlations that enable this imaging scheme and the possibility of implementing new imaging protocols with interesting real-life applications, e.g. imaging in turbulent media, investigation of sensitive samples in low-flux regimes, 3-D plenoptic imaging, and so on. Since the first demonstration of Ghost Imaging, several extended versions of the Traditional Ghost Imaging algorithm have been proposed, such as Correspondence Ghost Imaging, Pseudo-Inverse Ghost Imaging, and normalization techniques that rely on different computational approaches to obtain the image from measured data. So far, a direct comparison of all above-mentioned protocols for the same experimental parameters is still lacking. In this work, we experimentally and numerically implement a number of different methods and systematically compare them in terms of the obtained SNR and computational cost. Furthermore, we investigate their compatibility with Correlation Plenoptic Imaging, a technique strictly connected to Ghost Imaging, that allows refocusing of images, increasing the depth of field (DOF) and making 3D visualization possible. Our results can provide useful guidelines for the choice of a suitable numerical algorithm for in the light of Ghost Imaging applications.

show abstract

Correlation Plenoptic Imaging: An Overview

Cited by 27 publications

References 76 publications

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

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

Imaging with quantum states of light

Classical Ghost Imaging: A Comparative Study of Algorithmic Performances for Image Reconstruction in Prospect of Plenoptic Imaging

Contact Info

Product

Resources

About