Spectral multiplexing method for digital snapshot spectral imaging

Golub, Michael A.; Nathan, M.; Averbuch, Amir; Lavi, Eitan; Zheludev, Valery A.; Schclar, Alon

doi:10.1364/ao.48.001520

Cited by 14 publications

(3 citation statements)

References 18 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Results coming from these studies have shown some advantages, but also several problems related to the use of CS in this field, such as the availability of large-size, high speed modulators. Some developments have led to patent registration, like the Tel-Aviv Digital Snapshot Spectral Imager 13 . Research in developing hyperspectral imaging system with CS technology is driven by the opportunity of reducing the data throughput of sensors, which can be challenging especially for satellite missions.…”

Section: State Of the Art Of Cs Instrumentsmentioning

confidence: 99%

Optical compressive sensing technologies for space applications: instrumental concepts and performance analysis

Guzzi

Coluccia

Labate³

et al. 2019

International Conference on Space Optics — ICSO 2018

View full text Add to dashboard Cite

This paper presents the results of a study aimed at investigating the potential of Compressive Sensing (CS) technologies for optical space instruments. Besides assessing the pros and cons for a wide set of proposed instrumental concepts for space applications, the study analyzed in further detail two CS-based instrument concepts, each targeting a specific application: an UV-VIS hyperspectral imager on orbiter for stellar spectro-photometry and a MIR camera for sky observation and real-time detection of Near Earth Objects (NEO). The proposed UV-VIS hyperspectral imager relies on a classical CS approach and addresses the CS reconstruction of the full image in order to implement slitless spectrophotometry of stars. The CS-based MIR camera for NEO detection instead explores a novel approach aiming at information extraction without a prior full reconstruction of the image. Besides outlining the optical design of the instruments, its key elements and a pros and cons analysis of the architecture, this paper presents the performance assessment of these instruments for typical application scenarios by means of simulated data. The results showed that, from the point of view of data reconstruction quality, a good performance can be achieved by the designed instruments in terms of compression ratio (CR) and image reconstruction. In terms of system budgets, the CS architecture offered only some marginal benefits with respect to their traditional counterparts, mainly due to the lack of a compression board. Most advantages are instead provided in terms of downlink requirements and memory buffer.

show abstract

Section: State Of the Art Of Cs Instrumentsmentioning

confidence: 99%

Optical compressive sensing technologies for space applications: instrumental concepts and performance analysis

Guzzi

Coluccia

Labate³

et al. 2019

International Conference on Space Optics — ICSO 2018

View full text Add to dashboard Cite

show abstract

“…Spectral imaging can also use a diffraction element such as a grating or prism, where the spectrum is scanned pixel-by-pixel or line-by-line [9]. Each method has its pros and cons that depend on the measurement parameters and the actual application such as acquisition time, spectral and/or spatial resolution [10][11][12]. A few different commercial spectral cameras are available that are based on these methods.…”

Section: Introductionmentioning

confidence: 99%

Rapid microscopy measurement of very large spectral images

2016

View full text Add to dashboard Cite

The spectral content of a sample provides important information that cannot be detected by the human eye or by using an ordinary RGB camera. The spectrum is typically a fingerprint of the chemical compound, its environmental conditions, phase and geometry. Thus measuring the spectrum at each point of a sample is important for a large range of applications from art preservation through forensics to pathological analysis of a tissue section. To date, however, there is no system that can measure the spectral image of a large sample in a reasonable time. Here we present a novel method for scanning very large spectral images of microscopy samples even if they cannot be viewed in a single field of view of the camera. The system is based on capturing information while the sample is being scanned continuously 'on the fly'. Spectral separation implements Fourier spectroscopy by using an interferometer mounted along the optical axis. High spectral resolution of ~5 nm at 500 nm could be achieved with a diffraction-limited spatial resolution. The acquisition time is fairly high and takes 6-8 minutes for a sample size of 10mm x 10mm measured under a bright-field microscope using a 20X magnification.

show abstract

“…As a mathematic problem, deconvolution is well developed and several great solutions are proposed to deal with this problem, such as Richardson-Lucy deconvolution [10] , which is employed to reconstruct spectrum in Ref. [11]. In Fig.…”

mentioning

confidence: 99%

High-throughput deconvolution-resolved computational spectrometer

Yue¹,

Han²,

Zhang³

et al. 2014

中国光学快报

View full text Add to dashboard Cite

A novel high-throughput spectrometer with a wide-slit is presented. In conventional spectrometers, the slit limited the light throughput. Here, the slit is replaced with a much wider one (200 µm) to increase throughput. A beam splitter is utilized to construct a dual-path optics to measure both non-dispersed and dispersed light intensity which comes from the wide-slit. While the dispersed light intensity is result of the non-dispersed light convoluted spectrum of the source, the spectrum can be acquired by solving the inverse problem of deconvolution. Experiments show that the reconstructed spectra achieved almost the same resolution measured by traditional spectrometer, while throughput and peak signal-to-noise ratio (PSNR) are improved dramatically.

show abstract

Spectral multiplexing method for digital snapshot spectral imaging

Cited by 14 publications

References 18 publications

Optical compressive sensing technologies for space applications: instrumental concepts and performance analysis

Optical compressive sensing technologies for space applications: instrumental concepts and performance analysis

Rapid microscopy measurement of very large spectral images

High-throughput deconvolution-resolved computational spectrometer

Contact Info

Product

Resources

About