Embedding and transmitting multi-dimensional optical information through noisy environments using a single-pixel detector

Ye, Zhiyuan; Pan, Jingyu; Wang, Haibo; Xiong, Jun

doi:10.1016/j.optcom.2020.125726

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…Based on the classical optical coherence theory [20] and previous GI experiments [21][22][23][24], the ghost image is obtained by using the correlation function of the intensity fluctuations between the calculated and measured optical fields as follows…”

Section: Scheme Descriptionmentioning

confidence: 99%

High-quality underwater computational ghost imaging with shaped Lorentz sources

et al. 2020

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We show that the quality of the underwater imaging can be effectively improved by utilizing the computational ghost imaging (CGI) scheme with shaped Lorentz sources. The formula for the point-spread function in the underwater CGI system with a shaped Lorentz source is derived theoretically, and numerical examples are given to see how the CGI quality can be affected by the oceanic turbulence, including the rate of dissipation of mean-square temperature, the rate of dissipation of turbulent kinetic energy per unit mass of fluid, and the relative strength of temperature salinity fluctuations, as well as the modulation factor of the shaped Lorentz source. In addition, the relative mean square error is applied to quantitatively evaluate the quality of the recovered images in our underwater CGI system. Compared with the widely used Gaussian source, our results show that the long-distance underwater CGI quality can be greatly enhanced by properly adjusting the modulation factor of the shaped Lorentz source, owing to its almost non-diffracting property. Therefore, our proposed method may be useful for the real application in the long-distance underwater imaging.

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Section: Scheme Descriptionmentioning

confidence: 99%

High-quality underwater computational ghost imaging with shaped Lorentz sources

et al. 2020

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“…Since the bucket detector is simply used for collecting all the light from the object, the test arm is resistant to turbulence or strong light scattering. Most works focused on investigating GI with a turbid medium placed between an object and a bucket detector [1,[14][15][16]. GI requires the light patterns illuminating the object be well determined.…”

Section: Introductionmentioning

confidence: 99%

Unsighted ghost imaging for objects completely hidden inside turbid media

Yuan

Chen

2022

New J. Phys.

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Ghost imaging (GI) is an unconventional imaging method that retrieves the image of an object by correlating a series of known illumination patterns with the total reflected (or transmitted) intensity. However, the patterns on the object are required to be known, which highly limits its application scenarios, especially in a strong scattering environment. We here propose a scheme that removes this basic requirement, and enables GI to non-invasively image objects through turbid media. As experimental proof, we project a set of patterns towards an object hidden inside turbid media that make the patterns falling on the object completely unknown. The spatial information of both the object and the illumination is lost. We prove that, when the source is within a memory-effect angular range of the turbid medium, the spatial frequency of the object is preserved in the correlation of GI, which can be used for image reconstruction. This scheme also circumvents the major challenge in non-invasive imaging through turbid media: the object must be small enough to fit in a field-of-view which is usually extremely small in realistic scenarios. Our method removes this limitation and is an important step towards realistic applications.

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High-efficiency single-pixel imaging using discrete Hartley transform

Sun

Gao

et al. 2021

AIP Advances

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Single-pixel imaging technology is popular with invisible wavelengths and low light environments. However, the time-consuming steps hindered the development of single-pixel imaging technology. To improve imaging efficiency, a high-efficiency one-step single-pixel imaging method based on the discrete Hartley transform is proposed. The proposed method does not require a large number of fringe patterns and only requires a real-number calculation. The number of fringe patterns required for the proposed method is only half of that required for the four-step phase-shift Fourier method at the same sampling rate. Although a one-step method, it also uses the idea of differential measurements and adds upsampling processing strategies, which simultaneously improve the signal-to-noise ratio of the recovered image. The simulation shows that the peak signal-to-noise ratio and structural similarity index of the recovered target scene exceed 20 dB and 80%, respectively, when the sampling rate is 30%. Only 20 164 patterns are needed to reconstruct a (256 × 256)-pixel image. After defocusing the gray stripe pattern into a binary pattern, it only takes milliseconds to project these patterns into the target. It can be seen that the experimental results of the proposed method are significantly better than those of the two-step phase-shift method under dramatical noise interference. With the rapid development of advanced equipment, this method will represent significant progress in the real-time reconstruction of single-pixel imaging.

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Embedding and transmitting multi-dimensional optical information through noisy environments using a single-pixel detector

Cited by 5 publications

References 36 publications

High-quality underwater computational ghost imaging with shaped Lorentz sources

High-quality underwater computational ghost imaging with shaped Lorentz sources

Unsighted ghost imaging for objects completely hidden inside turbid media

High-efficiency single-pixel imaging using discrete Hartley transform

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