A compressive sensing based transmissive single-pixel camera

Magalhães, Filipe; Abolbashari, Mehrdad; Farahi, Faramarz; Araújo, F. M.; Correia, Miguel Velhote

doi:10.1117/12.891940

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Это связано с целым рядом их преимуществ по сравнению с обычными изображениями, особенно при работе с биологическими объектами, когда важен щадящий режим облучения изучаемых живых существ. Интересны также варианты исследования труднодоступных областей, например закрытых полостей, с помощью волоконной оптики, если удается запустить туда волоконный жгут [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”

Section: Introductionunclassified

Спонтанное Четырехфотонное Смешение В Формировании Фантомных Изображений

Белинский¹,

Васильков²

2023

Оптика И Спектроскопия

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A generalization of the calculation of the formation of ghost images in the course of backward four-photon mixing to the real situation of non-planar spatially limited pumping, which has a Gaussian profile of the fundamental laser mode, is developed, taking into account the specifics of the formation of phantom images. Computer images have been obtained that make it possible to estimate the spatial resolution of the systems. A relatively simple equivalent scheme for describing the process is proposed, which shows that the effect of diffraction in nonlinear systems is similar to its role in ordinary linear optics with a limited aperture. A fiber-optic version of the formation of ghost images is proposed, suitable for the study of hard-to-reach cavities and organs of the human body, which allow the introduction of a thin fiber bundle there.

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Section: Introductionunclassified

Спонтанное Четырехфотонное Смешение В Формировании Фантомных Изображений

Белинский¹,

Васильков²

2023

Оптика И Спектроскопия

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“…CS is a novel data acquisition technique that leverages the feature of many natural signals of being highly correlated. A high correlation entails the existence of a domain (integral transform) in which the signal is sparse and only a small fraction of the transform coefficients is significantly different from zero [ 1 , 2 , 3 ]. CS theory affirms that an exactly sparse signal can be sensed with a small number of linear measurements without any information loss [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Compressive Sensing Imaging Spectrometer for UV-Vis Stellar Spectroscopy: Instrumental Concept and Performance Analysis

Nardino

Guzzi

Lastri

et al. 2023

Sensors

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Compressive sensing (CS) has been proposed as a disruptive approach to developing a novel class of optical instrumentation used in diverse application domains. Thanks to sparsity as an inherent feature of many natural signals, CS allows for the acquisition of the signal in a very compact way, merging acquisition and compression in a single step and, furthermore, offering the capability of using a limited number of detector elements to obtain a reconstructed image with a larger number of pixels. Although the CS paradigm has already been applied in several application domains, from medical diagnostics to microscopy, studies related to space applications are very limited. In this paper, we present and discuss the instrumental concept, optical design, and performances of a CS imaging spectrometer for ultraviolet-visible (UV–Vis) stellar spectroscopy. The instrument—which is pixel-limited in the entire 300 nm–650 nm spectral range—features spectral sampling that ranges from 2.2 nm@300 nm to 22 nm@650 nm, with a total of 50 samples for each spectrum. For data reconstruction quality, the results showed good performance, measured by several quality metrics chosen from those recommended by CCSDS. The designed instrument can achieve compression ratios of 20 or higher without a significant loss of information. A pros and cons analysis of the CS approach is finally carried out, highlighting main differences with respect to a traditional system.

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Filter for speckle noise reduction based on compressive sensing

Leportier

Park

2016

Opt. Eng

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A compressive sensing based transmissive single-pixel camera

Cited by 3 publications

References 15 publications

Спонтанное Четырехфотонное Смешение В Формировании Фантомных Изображений

Спонтанное Четырехфотонное Смешение В Формировании Фантомных Изображений

Compressive Sensing Imaging Spectrometer for UV-Vis Stellar Spectroscopy: Instrumental Concept and Performance Analysis

Filter for speckle noise reduction based on compressive sensing

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