Blind ghost imaging

Paniagua-Diaz, Alba M.; Starshynov, Ilya; Fayard, Nikos; Goetschy, Arthur; Pierrat, Romain; Carminati, Rémi; Bertolotti, Jacopo

doi:10.1364/optica.6.000460

Cited by 56 publications

(16 citation statements)

References 29 publications

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“…The image can be formed without a lens (lensless ghost imaging) [6][7][8] or only by using a single-pixel detector (computational ghost imaging, CGI) [9][10][11]. Due to the underlying physics and potential applications in many fields, including lidar [12], tomography [13], and medical imaging [14][15][16], GI has attracted much attention in recent years [17][18][19][20][21][22]. It has also been extended to different domains with certain freedoms of correlation, including atomic domain [23,24], time domain [25][26][27], and spiral imaging [28,29].…”

Section: Introductionmentioning

confidence: 99%

Instant ghost imaging: algorithm and on-chip implementation

Yang¹,

Zhang²,

Liu³

et al. 2020

Opt. Express

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Ghost imaging (GI) is an imaging technique that uses the correlation between two light beams to reconstruct the image of an object. Conventional GI algorithms require large memory space to store the measured data and perform complicated offline calculations, limiting practical applications of GI. Here we develop an instant ghost imaging (IGI) technique with a differential algorithm and an implemented high-speed on-chip IGI hardware system. This algorithm uses the signal between consecutive temporal measurements to reduce the memory requirements without degradation of image quality compared with conventional GI algorithms. The on-chip IGI system can immediately reconstruct the image once the measurement finishes; there is no need to rely on post-processing or offline reconstruction. This system can be developed into a realtime imaging system. These features make IGI a faster, cheaper, and more compact alternative to a conventional GI system and make it viable for practical applications of GI.

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Section: Introductionmentioning

confidence: 99%

Instant ghost imaging: algorithm and on-chip implementation

Yang¹,

Zhang²,

Liu³

et al. 2020

Opt. Express

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“…The fundamental problem is that light passing through scattering media will be strongly scattered and diffused into a complex speckle pattern [1][2][3][4][5], in which the color and spatial information of the object become disordered. In the field of imaging through scattering media, a number of approaches have been demonstrated to be capable of overcoming or taking advantage of the scattering effect [1,[6][7][8][9][10][11][12], such as adaptive optics [7], wave-front shaping [8], correlations imaging [1], multiphoton fluorescent imaging [9,10], ghost imaging [11], and optical coherence tomography (OCT) [12].…”

Section: Introductionmentioning

confidence: 99%

Color imaging through scattering media based on phase retrieval with triple correlation

Zhu

Liu

et al. 2020

Optics and Lasers in Engineering

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Light passing through scattering media will be strongly scattered and diffused into a complex speckle pattern, which contains most of the spatial information and color information of the objects. Although various technologies have been proposed to realize color imaging through scattering media, current technologies are still inflexible, since they require long sequence measurement for each imaging pixel or spectral point spread functions of an optical system. In this paper, we propose a color imaging method through scattering media based on phase retrieval with triple correlation. Here, we theoretically prove that the spatial averaging of the triple correlation technique can be used to retrieve the Fourier phase of object and we experimentally demonstrate that it can be applied in color imaging through scattering media. Compared to other phase retrieval techniques, phase retrieval with the triple correlation technique can retain the orientation information of objects and can composite the color image without rotation operation. Furthermore, our approach has the potential of realizing spectral imaging through scattering media.

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“…Considering the nature of GI, information are retrieved by correlation between fluctuations of the bucket signals and the illumination patterns. Such fluctuations can be introduced by the refreshing of the illumination patterns [29][30][31][32][33][34][35][36], and can also be caused by motion of the objects [37,38]. With static or shifting spatial-resolved pattern, tracking was achieved from fluctuations produced by motion of the object [37].…”

Section: Introductionmentioning

confidence: 99%

Single-pixel Tracking and Imaging under Weak Illumination

Sun,

Hu,

et al. 2020

Preprint

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Under weak illumination, tracking and imaging moving object turns out to be hard. By spatially collecting the signal, single pixel imaging schemes promise the capability of image reconstruction from low photon flux. However, due to the requirement on large number of samplings, how to clearly image moving objects is an essential problem for such schemes. Here we present a principle of single pixel tracking and imaging method. Velocity vector of the object is obtained from temporal correlation of the bucket signals in a typical computational ghost imaging system. Then the illumination beam is steered accordingly. Taking the velocity into account, both trajectory and clear image of the object are achieved during its evolution. Since tracking is achieved with bucket signals independently, this scheme is valid for capturing moving object as fast as its displacement within the interval of every sampling keeps larger than the resolution of the optical system. Experimentally, our method works well with the average number of detected photons down to 1.88 photons/speckle.

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Blind ghost imaging

Cited by 56 publications

References 29 publications

Instant ghost imaging: algorithm and on-chip implementation

Instant ghost imaging: algorithm and on-chip implementation

Color imaging through scattering media based on phase retrieval with triple correlation

Single-pixel Tracking and Imaging under Weak Illumination

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