Multi-resolution single-pixel imaging via Hadamard ‘pipeline’ coding

Zhou, Cheng; Zhao, Xiwei; Huang, Heyan; Wang, Gangcheng; Wang, Xue; Song, Lijun; Xue, Kang

doi:10.1007/s00340-020-07512-6

Cited by 8 publications

(4 citation statements)

References 29 publications

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“…The N reconstructed images TN (x, y) of the object can be recovered by the second-order correlation function [14,28] TN…”

Section: -2mentioning

confidence: 99%

“…On the other hand, traditional CGI that uses random patterns to obtain a nice reconstruction requires more than M measurements of an M-pixels image. [27] Recently, Hadamard patterns, as the orthogonal patterns instead of the random speckle patterns, were used to illuminate the object to improve the image quality and reduce the number of the measurements to M. [28,29] In this work, an attempt is made to image a fast periodic moving/state-changed object by using Hadamard-based CGI with a slow bucket detector, which is named as PO-HCGI. In the scheme, if we want to get N frames of the moving/statechanged object, we divide each row of a Hadamard matrix into N groups.…”

Section: Introductionmentioning

confidence: 99%

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Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging

Guo¹,

Wang²,

Zhao³

2022

Chinese Phys. B

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We propose a method for imaging a periodic moving/state-changed object based on computational ghost imaging with Hadamard speckle patterns and a slow bucket detector, named PO-HCGI. In the scheme, speckle patterns are produced from a part of each row of a Hadamard matrix. Then, in each cycle, multiple speckle patterns are projected onto the periodic moving/state-changed object, and a bucket detector with a slow sampling rate records the total intensities reflected from the object as one measurement. With a series of measurements, the frames of the moving/state-changed object can be obtained directly by second-order correlation function based on the Hadamard matrix and the corresponding bucket detector measurement results. The experimental and simulation results demonstrate the validity of the PO-HCGI. To the best of our knowledge, PO-HCGI is the first scheme that can image a fast periodic moving/state-changed object by computational ghost imaging with a slow bucket detector.

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“…The N reconstructed images TN (x, y) of the object can be recovered by the second-order correlation function [14,28] TN…”

Section: -2mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging

Guo¹,

Wang²,

Zhao³

2022

Chinese Phys. B

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“…In this work, a single-pixel imaging technique with high-frequency excitation in combination with a modulated, color selective light source and a phase-sensitive amplifier is used to achieve a spatially resolved phase contrast in addition to the intensity contrast of a simple two-dimensional amplitude reconstruction. For this, Hadamard patterns [6][7][8] are used to sample and reconstruct the relevant information. Advantages of the used measurement method are the application in highly light-contaminated environments as well as an improved SNR 9 in the range of 10 −4 due to the use of the lock-in measurement technique compared to conventional cameras.…”

Section: Introductionmentioning

confidence: 99%

Lock-In enhanced non-quantum ghost imaging approach for low scattering surfaces in a highly light contaminated environment

Gruner,

Kabardiadi-Virkovski,

Kabardiadi-Virkovski

et al. 2024

Photonic Instrumentation Engineering XI

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Ghost imaging (GI) as a tool for the indirect estimation of two-dimensional information by using a single detection unit is of high interest in different fields of industrial and academic applications 1 . One of the crucial benefits of such a technique is the flexibility of the single detection unit, which may, for example, consist of an avalanche photodiode that can provide several orders of sensitivity compared to PIN diodes. In this work, a combined technique is proposed using a high frequency (1 M Hz) modulated color selective light source together with a phase sensitive amplifier for the detection of incoming light from low scattering technical surfaces. The aim of this work is the proposition of the optical metrology approach in combination with an application-optimized set of the necessary illumination patterns to reduce acquisition time. Instrumentalization of the modulation phase information of the scattered light enables estimation and visualization of the fluorescence of the surfaces e.g., organic contaminations. The target application for this technique is the estimation of typical surface properties (roughness, homogeneity) for monitoring of additive manufacturing procedures in industrial, highly light-contaminated environments. Due to the high-speed switching time between different light sources, a fast operational acquisition of the spectral image data is achieved enabling the resulting measurement approach for inline applications.

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“…Due to the correlation between patterns, it takes 10s of times the numbers of samples to achieve a good imaging effect [9,10]. At present, the use of Hadamard basis patterns instead of random patterns has attracted wide attention [11,12,[13][14][15]. A 'Russian Dolls' ordering of the Hadamard basis is used to realize the trade-off between the number of sampes and imaging quality [11].…”

Section: Introductionmentioning

confidence: 99%

High-efficiency reconstruction of ghost imaging based on equivalent deformation of 2D Walsh transform

Sang

Zhou

et al. 2020

J. Opt.

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As a high-quality imaging scheme, the sampling and reconstruction of 1D Walsh transform ghost imaging is mathematically equivalent to 1D Walsh transform, i.e. single matrix multiplication. It is widely acknowledged that compared with the 1D Walsh transform, the 2D Walsh transform is advantageous in terms of simpler calculation and stronger energy concentration. However, the 2D Walsh transform cannot adapt well to 1D imaging systems because it requires matrix multiplication to be carried out twice. To address this problem, we employ the ‘most natural’ Walsh order basis patterns to obtain the bucket detection value, so that the effect of the 1D sampling process is the same as that in the 2D Walsh transform. Based on this relationship of equivalence, this scheme can recover the image accurately. Numerical simulations and experimental results demonstrate that 2D Walsh transform ghost imaging is capable of reconstructing a sharp image with fewer coefficients. Moreover, we propose a fast algorithm for the 2D Walsh transform, which is proven to require less reconstruction time than the 1D fast Walsh transform. We are committed to building an efficient imaging system that can save as much time as possible in both sampling and reconstruction. From a practical point of view, a broader application may be found in real-time and low-resolution video imaging.

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Multi-resolution single-pixel imaging via Hadamard ‘pipeline’ coding

Cited by 8 publications

References 29 publications

Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging

Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging

Lock-In enhanced non-quantum ghost imaging approach for low scattering surfaces in a highly light contaminated environment

High-efficiency reconstruction of ghost imaging based on equivalent deformation of 2D Walsh transform

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