Wavelength-multiplexing ghost imaging

Zhang, Dejian; Li, Hongguo; Zhao, Qiu-Li; Wang, Sen; Wang, Haibo; Xiong, Jun; Wang, Kaige

doi:10.1103/physreva.92.013823

Cited by 57 publications

(24 citation statements)

References 22 publications

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“…The image or the Fourier transform of the object was reconstructed by correlating the temporal fluctuations of the calculated field patterns with the measured intensities. With the same principle, ghost imaging with wavelength-multiplexing has been performed [7]. At last, application of quantum ghost imaging to long distance optical information encryption and transmission has been demonstrated [8].…”

Section: Introductionmentioning

confidence: 99%

“…This is in contrast with spatial ghost imaging, where the object is unique, but multiplied in the time domain by a random modulation, different from one pixel to another, leading to multiplexing in this time domain. In the present paper we propose an original and completely different scheme which is the exact space-time transposition of computational ghost imaging [6] and of wavelength-multiplexing ghost imaging [7]: a single shot acquisition of a non-reproducible time object is performed by multiplying it with computer-generated random images, ensuring spatial multiplexing of temporal intensity correlations before detection of the time integrated images with a camera that has no temporal resolution. Experiments are performed with monochrome images or color images to reconstruct either a single temporal signal or wavelength-multiplexed temporal signals, respectively.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Computational temporal ghost imaging

Devaux¹,

Moreau²,

Denis³

et al. 2016

Optica

113

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Ghost imaging is a fascinating process, where light interacting with an object is recorded without resolution, but the shape of the object is nevertheless retrieved, thanks to quantum or classical correlations of this interacting light with either a computed or detected random signal. Recently, ghost imaging has been extended to a time object, by using several thousands copies of this periodic object. Here, we present a very simple device, inspired by computational ghost imaging, that allows the retrieval of a single non-reproducible, periodic or non-periodic, temporal signal. The reconstruction is performed by a single shot, spatially multiplexed, measurement of the spatial intensity correlations between computer-generated random images and the images, modulated by a temporal signal, recorded and summed on a chip CMOS camera used with no temporal resolution. Our device allows the reconstruction of either a single temporal signal with monochrome images or wavelength-multiplexed signals with color images.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Computational temporal ghost imaging

Devaux¹,

Moreau²,

Denis³

et al. 2016

Optica

113

View full text Add to dashboard Cite

show abstract

“…Quantum theory of this process has been systematically developed in recent years [19][20][21][22]. Note that in [4,23,24] GI were multiplexed via multi-frequency noncoherent radiation sources to simultaneously produce several GI that are superimposed afterwards. Recently, polarization multiplexing has been used in several works on GI (see [25] and references there), in particular, to improve the reconstructed image quality.…”

Section: Introductionmentioning

confidence: 99%

Object reconstruction from multiplexed quantum ghost images using reduction technique

Балакин

Belinsky

Chirkin

2019

Quantum Inf Process

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We apply the measurement reduction technique to optimally reconstruct an object image from multiplexed ghost images (GI) while taking into account both GI correlations and object image sparsity. We show that one can reconstruct an image in that way even if the object is illuminated by a small photon number. We consider frequency GI multiplexing using coupled parametric processes. We revealed that the imaging condition depends on the type of parametric process, namely, whether down-or up-conversion is used. Influence of information about sparsity in discrete cosine transform and Haar transform bases on reconstruction quality is studied. In addition, we compared ordinary and ghost images when the detectors are additionally illuminated by noise photons in a computer experiment, which showed increased noise immunity of GI, especially with processing via the proposed technique.

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“…Recently, image multiplexing has been used in ghost image acquisition schemes [11][12][13][14][15][16][17] It is shown in our works [11][12][13][14] that using quantum correlations of ghost images and the reduction technique in image processing, we can improve the characteristics of the reconstructed optical image.…”

Section: Introductionmentioning

confidence: 99%

Improvement of an optical image by the measurement reduction technique at parametric multiplexing

Балакин

Chirkin

2019

J. Opt. Soc. Am. B

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In the process of parametric optical image amplification, images are formed at new frequencies in addition to the amplified original image. We show that the parametric multiplexing of optical images can be used to produce an image with improved quality. As an example, we study the parametric amplification of an optical image at low-frequency pumping in which multiplexed optical images turn out to be quantum-correlated. Additional improvement is made possible by using the information about the object that is available to the researcher, in particular, about sparsity of its image. To take the available information into account, we apply the measurement reduction technique.

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Wavelength-multiplexing ghost imaging

Cited by 57 publications

References 22 publications

Computational temporal ghost imaging

Computational temporal ghost imaging

Object reconstruction from multiplexed quantum ghost images using reduction technique

Improvement of an optical image by the measurement reduction technique at parametric multiplexing

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