Compressed ghost edge imaging

Guo, Hui; He, Ruyong; Wei, Chaopeng; Lin, Zequn; Wang, Le; Zhao, Shengmei

doi:10.3788/col201917.071101

Cited by 22 publications

(6 citation statements)

References 29 publications

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“…Fabry-Pérot laser diodes based on the group-III-nitride system are commonly designed to operate at 405 nm (violet), 450 nm (blue), and 520 nm (green). These devices are essential to consumer electronics and optoelectronics and are already widely reported as discrete devices for applications in optical communication [194,195], biology [196][197][198], and cuttingedge instrumentation [199,200]. However, the group-IIInitride laser diode family requires a substantial market push for the demonstration of photonic integrated circuits and integrated device architectures, which are well established for their near-infrared counterparts [201,202].…”

Section: Fabry-pérot and Integrated Lasers 211 Overviewmentioning

confidence: 99%

Group-III-nitride and halide-perovskite semiconductor gain media for amplified spontaneous emission and lasing applications

Ng¹,

Holguín‐Lerma²,

Kang³

et al. 2021

J. Phys. D: Appl. Phys.

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Group-III-nitride optical devices are conventionally important for displays and solid-state lighting, and recently have garnered much interest in the field of visible-light communication. While visible-light laser technology has become mature, developing a range of compact, small footprint, high optical power components for the green-yellow gap wavelengths still requires material development and device design breakthroughs, as well as hybrid integration of materials to overcome the limitations of conventional approaches. The present review focuses on the development of laser and amplified spontaneous emission (ASE) devices in the visible wavelength regime using primarily group-III-nitride and halide-perovskite semiconductors, which are at disparate stages of maturity. While the former is well established in the violet-blue-green operating wavelength regime, the latter, which is capable of solution-based processing and wavelength-tunability in the green-yellow-red regime, promises easy heterogeneous integration to form a new class of hybrid semiconductor light emitters. Prospects for the use of perovskite in ASE and lasing applications are discussed in the context of facile fabrication techniques and promising wavelength-tunable light-emitting device applications, as well as the potential integration with group-III-nitride contact and distributed Bragg reflector layers, which is promising as a future research direction. The absence of lattice-matching limitations, and the presence of direct bandgaps and excellent carrier transport in halide-perovskite semiconductors, are both encouraging and thought-provoking for device researchers who seek to explore new possibilities either experimentally or theoretically. These

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Section: Fabry-pérot and Integrated Lasers 211 Overviewmentioning

confidence: 99%

Group-III-nitride and halide-perovskite semiconductor gain media for amplified spontaneous emission and lasing applications

Ng¹,

Holguín‐Lerma²,

Kang³

et al. 2021

J. Phys. D: Appl. Phys.

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“…The transfer function relates the processed output to the input field by the convolution theorem, where denotes the Fourier transform, represents any component of the electric field and . For example, high-pass filters block low spatial frequencies to eliminate unscattered field components for edge detection 18 , which is fundamental to data compression 19 and machine vision 20 , 21 . A notable sub-class is that of linear optical transfer functions, i.e.…”

Section: Introductionmentioning

confidence: 99%

Thin film notch filters as platforms for biological image processing

Sulejman

Priscilla

Wesemann

et al. 2023

Sci Rep

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Many image processing operations involve the modification of the spatial frequency content of images. Here we demonstrate object-plane spatial frequency filtering utilizing the angular sensitivity of a commercial spectral bandstop filter. This approach to all-optical image processing is shown to generate real-time pseudo-3D images of transparent biological and other samples, such as human cervical cancer cells. This work demonstrates the potential of non-local, non-interferometric approaches to image processing for uses in label-free biological cell imaging and dynamical monitoring.

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“…In recent years, edge information detection of an unknown object based on GI was proposed [17][18][19][20][21][22][23][24] (namely ghost edge detection), where edge information could be directly detected without extracting the original image at first. For example, a gradient ghost imaging (GGI) was introduced by Liu et al in Ref.…”

Section: Introductionmentioning

confidence: 99%

“…[22], a variable size Sobel operator with isotropic coefficients was devised for edge detection, which was sensitive to all directions. The compressed ghost edge imaging (CGEI) method was found to achieve the reduction in the number of measurements for edge detection by utilizing a compressive sensing technique [23]. And Ref.…”

Section: Introductionmentioning

confidence: 99%

Ghost edge detection based on HED network

Zhao

Cui

et al. 2022

Front. Optoelectron.

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In this paper, we present an edge detection scheme based on ghost imaging (GI) with a holistically-nested neural network. The so-called holistically-nested edge detection (HED) network is adopted to combine the fully convolutional neural network (CNN) with deep supervision to learn image edges effectively. Simulated data are used to train the HED network, and the unknown object’s edge information is reconstructed from the experimental data. The experiment results show that, when the compression ratio (CR) is 12.5%, this scheme can obtain a high-quality edge information with a sub-Nyquist sampling ratio and has a better performance than those using speckle-shifting GI (SSGI), compressed ghost edge imaging (CGEI) and subpixel-shifted GI (SPSGI). Indeed, the proposed scheme can have a good signal-to-noise ratio performance even if the sub-Nyquist sampling ratio is greater than 5.45%. Since the HED network is trained by numerical simulations before the experiment, this proposed method provides a promising way for achieving edge detection with small measurement times and low time cost. Graphical Abstract

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Compressed ghost edge imaging

Cited by 22 publications

References 29 publications

Group-III-nitride and halide-perovskite semiconductor gain media for amplified spontaneous emission and lasing applications

Group-III-nitride and halide-perovskite semiconductor gain media for amplified spontaneous emission and lasing applications

Thin film notch filters as platforms for biological image processing

Ghost edge detection based on HED network

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