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Open AccessJournal ArticleDOI

Multispectral imaging using a single bucket detector.

TLDR
This work proposes to conduct multispectral imaging using a single bucket detector, to take full advantage of its high sensitivity, wide spectrum range, low cost, small size and light weight.
Abstract
Existing multispectral imagers mostly use available array sensors to separately measure 2D data slices in a 3D spatial-spectral data cube. Thus they suffer from low photon efficiency, limited spectrum range and high cost. To address these issues, we propose to conduct multispectral imaging using a single bucket detector, to take full advantage of its high sensitivity, wide spectrum range, low cost, small size and light weight. Technically, utilizing the detector’s fast response, a scene’s 3D spatial-spectral information is multiplexed into a dense 1D measurement sequence and then demultiplexed computationally under the single pixel imaging scheme. A proof-of-concept setup is built to capture multispectral data of 64 pixels × 64 pixels × 10 wavelength bands ranging from 450 nm to 650 nm, with the acquisition time being 1 minute. The imaging scheme holds great potentials for various low light and airborne applications and can be easily manufactured as production-volume portable multispectral imagers.

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Citations
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Journal ArticleDOI

Principles and prospects for single-pixel imaging

TL;DR: The working principle, advantages, technical considerations and future potential of single-pixel imaging are described, which suits a wide a variety of detector technologies.
Journal ArticleDOI

Learning from simulation: An end-to-end deep-learning approach for computational ghost imaging

TL;DR: A one-step end-to-end neural network is developed, trained with simulation data, to reconstruct two-dimensional images directly from experimentally acquired one-dimensional bucket signals, without the need of the sequence of illumination patterns.
Journal ArticleDOI

Fast Fourier single-pixel imaging via binary illumination.

TL;DR: A new strategy to increase the speed of FSI by two orders of magnitude is reported, which binarize the Fourier basis patterns based on upsampling and error diffusion dithering to find broad imaging applications at wavebands that are not accessible using conventional two-dimensional image sensors.
Journal ArticleDOI

1000 fps computational ghost imaging using LED-based structured illumination.

TL;DR: A computational ghost imaging scheme, which utilizes an LED-based, high-speed illumination module is presented, which provides a cost-effective and high- speed imaging technique for dynamic imaging applications.
Journal ArticleDOI

Single-Pixel Imaging and Its Application in Three-Dimensional Reconstruction: A Brief Review

TL;DR: Though not performing as well as digital cameras in conventional visible imaging, single-pixel imaging has been demonstrated to be advantageous in unconventional applications, such as multi-wavelength imaging, terahertz imaging, X-ray imaging, and three-dimensional imaging.
References
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Journal ArticleDOI

Single-Pixel Imaging via Compressive Sampling

TL;DR: A new camera architecture based on a digital micromirror device with the new mathematical theory and algorithms of compressive sampling is presented that can operate efficiently across a broader spectral range than conventional silicon-based cameras.
Book

JPEG2000 : image compression fundamentals, standards, and practice

TL;DR: This work has specific applications for those involved in the development of software and hardware solutions for multimedia, internet, and medical imaging applications.
Journal ArticleDOI

Computational ghost imaging

TL;DR: In this article, the authors describe a computational ghost-imaging arrangement that uses only a single-pixel detector, which affords background-free imagery in the narrow-band limit and a three-dimensional sectioning capability.
Proceedings Article

Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation

TL;DR: A linearized ADM (LADM) method is proposed by linearizing the quadratic penalty term and adding a proximal term when solving the sub-problems, allowing the penalty to change adaptively according to a novel update rule.
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