Performance analysis of ghost imaging lidar in background light environment

Deng, Chenjin; Pan, Long; Wang, Chenglong; Gao, Xin; Gong, Wenlin; Han, Shensheng

doi:10.1364/prj.5.000431

Cited by 54 publications

(21 citation statements)

References 19 publications

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“…Many studies have demonstrated that, in the first case, GI is more robust against disturbance from medium turbulence and medium scattering than traditional imaging techniques [34][35][36][37][38]. In the latter case, interference from optical background noise has been shown to decrease the quality of a lidar image [39]. The imaging capability of ghost imaging is reduced, or possibly even disabled, when variation in the amplitude of noise light exceeds the intensity of the thermal light.…”

Section: Introductionmentioning

confidence: 99%

Instant ghost imaging: improving robustness for ghost imaging subject to optical background noise

Yang

Zhang

et al. 2020

OSA Continuum

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Ghost imaging (GI) is an imaging technique that uses the second-order correlation between two light beams to obtain the image of an object. However, standard GI is affected by optical background noise, which reduces its practical use. We investigated the robustness of an instant ghost imaging (IGI) algorithm against optical background noise and compare it with the conventional GI algorithm. Our results show that IGI is extremely resistant to spatiotemporally varying optical background noise that can change over a large range. When the noise is large in relation to the signal, IGI will still perform well in conditions that prevent the conventional GI algorithm from generating an image because IGI uses signal differences for imaging. Signal differences are intrinsically resistant to common noise modes, so the IGI algorithm is strongly robust against noise. This research is of great significance for the practical application of GI.

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Section: Introductionmentioning

confidence: 99%

Instant ghost imaging: improving robustness for ghost imaging subject to optical background noise

Yang

Zhang

et al. 2020

OSA Continuum

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“…optical encryption [9], [10], remote sensing [11], lidar detection [12]- [15], etc. However, the poor visibility and large measurement time in GI have hindered real applications; therefore, improvements of the image quality and imaging efficiency are required.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Iterative Pseudoinverse Ghost Imaging

Guo

Wang

et al. 2018

IEEE Photonics J.

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An iterative pseudoinverse ghost imaging (IPGI) method is proposed based on iterative denoising and pseudoinverse ghost imaging (PGI). The background noise in the imaging is eliminated in iterations by setting an appropriate threshold. The IPGI method provides a significantly larger enhancement of the peak signal-to-noise ratio (PSNR) than the PGI technique for binary objects. Experiments and data analyses are performed to evaluate the performance of the proposed method. Compared with conventional GI, differential GI, and PGI methods, the proposed method has the highest performance in visual effects and significantly improves the imaging quality. For a certain PSNR, the proposed method provides satisfactory performance in terms of computing time.

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“…Another advantage of ISPI is its resistance to optical background noise. SPI and CGI can both resist turbulence and scattering medium [52][53][54] but do not have a strong capacity for resisting optical background noise [55,56]. We have experimentally verified that ISPI has excellent resistance to optical background noise.…”

Section: Discussionmentioning

confidence: 89%

Instant single-pixel imaging: on-chip real-time implementation based on the instant ghost imaging algorithm

Yang¹,

Li²,

Zhang³

et al. 2020

OSA Continuum

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Single-pixel imaging (SPI) uses a single-pixel detector to create an image of an object. SPI relies on a computer to construct an image, thus increasing both the size and cost of SPI and limiting its application. We developed instant single-pixel imaging (ISPI), an on-chip SPI system that implements real-time imaging at a rate of 25 fps. ISPI uses the instant ghost imaging algorithm we proposed which leverages signal differences for image creation. It does not require a computer, which greatly reduces its cost and size. The reconstruct time of ISPI for image creation is almost zero because little processing is required after signal detection. ISPI paves the way for the practical application of SPI.

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Performance analysis of ghost imaging lidar in background light environment

Cited by 54 publications

References 19 publications

Instant ghost imaging: improving robustness for ghost imaging subject to optical background noise

Instant ghost imaging: improving robustness for ghost imaging subject to optical background noise

Experimental Investigation of Iterative Pseudoinverse Ghost Imaging

Instant single-pixel imaging: on-chip real-time implementation based on the instant ghost imaging algorithm

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