Full-color photon-counting single-pixel imaging

Zhao, Yanan; Hou, Hong-Yun; Han, Jiacheng; Liu, Hong‐Chao; Zhang, Su-Heng; Cao, De-Zhong; Liang, Baolai

doi:10.1364/ol.431082

Cited by 18 publications

(5 citation statements)

References 20 publications

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“…The shift in the stage of spatial sampling allows SPI to facilitate the application of algorithms such as intensity correlation, compressed sensing, orthogonal basis scanning, and deep learning, making the acquisition of spatial information more flexible and efficient. Thus, SPI has been widely exploited for non-visible light imaging, [14][15][16][17] multispectral imaging, [18,19] extremely low light imaging, [20,21] three-dimensional imaging, [22,23] and optical encryption. [24][25][26] SPI can capture not only intensity images but also complex-amplitude images.…”

Section: Introductionmentioning

confidence: 99%

Complex-amplitude Fourier single-pixel imaging via coherent structured illumination

et al. 2023

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We propose a method of complex-amplitude Fourier single-pixel imaging (CFSI) with coherent structured illumination to acquire both the amplitude and phase of an object. In the proposed method, an object is illustrated by a series of coherent structured light fields which are generated by a phase-only spatial light modulator, the complex Fourier spectrum of the object can be acquired sequentially by a single-pixel photodetector. Then the desired complex-amplitude image can be retrieved directly by applying an inverse Fourier transform. We experimentally implemented this CFSI with several different types of objects. The experimental results show that the proposed method provides a promising complex-amplitude imaging approach with high quality and a stable configuration. Thus, it might find broad applications in optical metrology and biomedical science.

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Section: Introductionmentioning

confidence: 99%

Complex-amplitude Fourier single-pixel imaging via coherent structured illumination

et al. 2023

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“…On the other hand, because the energy of light is divided among three detectors, the light intensity received by each detector is weakened, which is not conducive to the suppression of noise. There are also many full color ghost imaging that use the time division multiplexing strategy [10][11][12][13][14][15], in which the sampling time is divided into three recurrent time periods to obtain information on the three components of the object, and finally a color image is obtained by synthesizing the components. However, these methods will also be affected by fluctuations in ambient light intensity, thereby reducing the quality of the reconstructed image [16].…”

Section: Introductionmentioning

confidence: 99%

Compressive color ghost imaging based on pseudo-inverse matrix

Liu,

Yu,

Bai

et al. 2023

Phys. Scr.

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In this paper, a compressive color ghost imaging method based on pseudo-inverse matrix is proposed, which improves the quality of imaging result via post-processing the measurement matrix. For a color ghost imaging utilizing compressive sensing algorithm, if we treat a color image as a form of grayscale image and perform pseudo-inverse operation on the measurement matrix, a new measurement model will be established and the preliminary ghost imaging reconstruction result can be obtained by the compressive sensing algorithm, then the preliminary result is converted into a superposition of three channels to form the final color image. The feasibility of this method is proved by numerical simulation and physical experiment, and comparations among our method and the latest typical improvement methods, i.e., the singular value decomposition compressive ghost imaging and the pseudo-inverse ghost imaging, are conducted. The results show that our method can achieve the better quality of reconstructed color image with a high structure similarity beyond 0.8.

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“…[ 7 ] Due to its broad response spectrum and mature technology, silicon‐based SPD is the most commonly used in SPI experiments. [ 8 ] However, the response of Si varies greatly in different wavebands, it's hard to distinguish the change of short‐wave component from the long‐wave background light. Limited by the light response properties of silicon, in both conventional imaging and SPI, color imaging has to be achieved by additional spectroscopic units [ 9 ] (e.g., RGB Bayer filters, optical beam splitters, micro‐nanostructures) or the integration of different photosensitive elements [ 10 ] (e.g., three‐color independent pixel stacking), which significantly increases the fabrication complexity and cost of the system, and also reduces the reliability and efficiency of imaging system.…”

Section: Introductionmentioning

confidence: 99%

Ultrasensitive Perovskite Photodetector for Filter‐Free Color Single‐Pixel Imaging

Zheng

Yan

Qiao

et al. 2022

Advanced Optical Materials

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Filter‐free color imaging is the long‐pursued solution for its simple structure, low cost, and high stability. However, a spectroscopic unit is still necessary for the current Si‐based imaging unit due to the intrinsic photoresponse properties of Si. Here, the authors demonstrate a filter‐free color‐resolved single‐pixel imaging (SPI) by combining the working mechanism of computational ghost imaging and the response characteristic of perovskite. Benefitting from a broad linear dynamic range (106.5 dB) and a high detectivity (4.03 × 1014 Jones) of the fabricated ultrasensitive MAPbBr3 microwire arrays (MWAs) photodetector, the light attenuation caused by an object can be effectively correlated with its color. The reconstructed images of both transmissive and reflective color objects show a high wavelength resolution reaching 20 nm in the range of 400–540 nm, which is impossible to achieve by commercial silicon‐photodiode‐based ones. This work can open a new door for the image acquisition of color‐sensitive objects and also pave a way for the evolution of the next generation of detectors and cameras with low‐dimensional perovskite materials.

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Full-color photon-counting single-pixel imaging

Cited by 18 publications

References 20 publications

Complex-amplitude Fourier single-pixel imaging via coherent structured illumination

Complex-amplitude Fourier single-pixel imaging via coherent structured illumination

Compressive color ghost imaging based on pseudo-inverse matrix

Ultrasensitive Perovskite Photodetector for Filter‐Free Color Single‐Pixel Imaging

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