Dual arm compressive spectral imaging in the visible and IR range

Imaging spectroscopy involves sensing spatial information in a scene across a range of wavelengths in order to acquire a three-dimensional data cube. Spectral images play an important role in science and technology. Some of their applications require image acquisition in both the visible and the inf...

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Autores:
Villa Acuña, Yenni Paloma
Arguello-Fuentes, Henry
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/60460
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/60460
http://bdigital.unal.edu.co/58792/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Spectral Imaging
Compressive Sensing
Dual arm
Infrared
Visible
Imágenes Espectrales
Muestreo Compresivo
Sistema Dual
Infrarrojo
Visible
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_af501e668afce624a92b81e0bbbb056b
oai_identifier_str oai:repositorio.unal.edu.co:unal/60460
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Dual arm compressive spectral imaging in the visible and IR range
title Dual arm compressive spectral imaging in the visible and IR range
spellingShingle Dual arm compressive spectral imaging in the visible and IR range
62 Ingeniería y operaciones afines / Engineering
Spectral Imaging
Compressive Sensing
Dual arm
Infrared
Visible
Imágenes Espectrales
Muestreo Compresivo
Sistema Dual
Infrarrojo
Visible
title_short Dual arm compressive spectral imaging in the visible and IR range
title_full Dual arm compressive spectral imaging in the visible and IR range
title_fullStr Dual arm compressive spectral imaging in the visible and IR range
title_full_unstemmed Dual arm compressive spectral imaging in the visible and IR range
title_sort Dual arm compressive spectral imaging in the visible and IR range
dc.creator.fl_str_mv Villa Acuña, Yenni Paloma
Arguello-Fuentes, Henry
dc.contributor.author.spa.fl_str_mv Villa Acuña, Yenni Paloma
Arguello-Fuentes, Henry
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Spectral Imaging
Compressive Sensing
Dual arm
Infrared
Visible
Imágenes Espectrales
Muestreo Compresivo
Sistema Dual
Infrarrojo
Visible
dc.subject.proposal.spa.fl_str_mv Spectral Imaging
Compressive Sensing
Dual arm
Infrared
Visible
Imágenes Espectrales
Muestreo Compresivo
Sistema Dual
Infrarrojo
Visible
description Imaging spectroscopy involves sensing spatial information in a scene across a range of wavelengths in order to acquire a three-dimensional data cube. Spectral images play an important role in science and technology. Some of their applications require image acquisition in both the visible and the infrared ranges in order to detect characteristics that are not noticeable to the bare eye. These can be perceived in lower layers of the scene where the visible radiation does not penetrate. This paper proposes a compressive image acquisition system that reduces the number of optical elements by jointly and compressively acquiring the images in the visible and infrared spectra. It also evaluates whether the quality of the reconstructed images is good enough to consider the optical implementation of the proposed system. Diverse simulations are performed to determine the peak signal to noise ratio (PSNR) of the data cubes as a function of the coded apertures transmittance, the Gaussian noise applied to the measurements and the number of snapshots. The simulations provide PSNR values of up to 33 dB in the reconstructed images.
publishDate 2016
dc.date.issued.spa.fl_str_mv 2016-10-01
dc.date.accessioned.spa.fl_str_mv 2019-07-02T18:22:12Z
dc.date.available.spa.fl_str_mv 2019-07-02T18:22:12Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2346-2183
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identifier_str_mv ISSN: 2346-2183
url https://repositorio.unal.edu.co/handle/unal/60460
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dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/dyna/article/view/51422
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.references.spa.fl_str_mv Villa Acuña, Yenni Paloma and Arguello-Fuentes, Henry (2016) Dual arm compressive spectral imaging in the visible and IR range. DYNA, 83 (199). pp. 207-217. ISSN 2346-2183
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas.
institution Universidad Nacional de Colombia
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repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Villa Acuña, Yenni Palomafef6f327-7087-4672-a6b2-1049e7476576300Arguello-Fuentes, Henry900ac240-45af-4faa-b0db-153fb5ee5a823002019-07-02T18:22:12Z2019-07-02T18:22:12Z2016-10-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60460http://bdigital.unal.edu.co/58792/Imaging spectroscopy involves sensing spatial information in a scene across a range of wavelengths in order to acquire a three-dimensional data cube. Spectral images play an important role in science and technology. Some of their applications require image acquisition in both the visible and the infrared ranges in order to detect characteristics that are not noticeable to the bare eye. These can be perceived in lower layers of the scene where the visible radiation does not penetrate. This paper proposes a compressive image acquisition system that reduces the number of optical elements by jointly and compressively acquiring the images in the visible and infrared spectra. It also evaluates whether the quality of the reconstructed images is good enough to consider the optical implementation of the proposed system. Diverse simulations are performed to determine the peak signal to noise ratio (PSNR) of the data cubes as a function of the coded apertures transmittance, the Gaussian noise applied to the measurements and the number of snapshots. The simulations provide PSNR values of up to 33 dB in the reconstructed images.La espectroscopia de imágenes involucra el muestreo de la información espacial de un objetivo a lo largo de un conjunto de longitudes de onda, en el que se adquiere un cubo de datos de tres dimensiones, dos de ellas espaciales y una espectral. Las imágenes espectrales juegan un papel importante en muchos campos de la ciencia y la tecnología, algunas de sus aplicaciones exigen la adquisición de la imagen en el espectro visible e infrarrojo, con el fin de detectar características no distinguibles a simple vista, presentes en capas inferiores del objetivo donde la luz visible no alcanza a atravesar. Este trabajo propone un sistema que reduce dichos costos de implementación adquiriendo simultáneamente y de forma comprimida la imagen en el espectro visible e infrarrojo. Además evalúa si la calidad de las imágenes reconstruidas es lo suficientemente buena para considerar su implementación óptica. Se realizaron diversas simulaciones para determinar la relación señal a ruido pico (PSNR, por su sigla en inglés) de los cubos de datos reconstruidos, en función de la transmitancia de los códigos de apertura, el ruido Gaussiano aplicado a las mediciones y el número de capturas. Los valores de PSNR obtenidos alcanzan los 33 dB.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/51422Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaVilla Acuña, Yenni Paloma and Arguello-Fuentes, Henry (2016) Dual arm compressive spectral imaging in the visible and IR range. DYNA, 83 (199). pp. 207-217. ISSN 2346-218362 Ingeniería y operaciones afines / EngineeringSpectral ImagingCompressive SensingDual armInfraredVisibleImágenes EspectralesMuestreo CompresivoSistema DualInfrarrojoVisibleDual arm compressive spectral imaging in the visible and IR rangeArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL51422-312232-1-PB.pdfapplication/pdf4147094https://repositorio.unal.edu.co/bitstream/unal/60460/1/51422-312232-1-PB.pdf3c9a0c49e0e08638ae8d4ff54887a28eMD51THUMBNAIL51422-312232-1-PB.pdf.jpg51422-312232-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9082https://repositorio.unal.edu.co/bitstream/unal/60460/2/51422-312232-1-PB.pdf.jpg388d3cefc6cd632cac4e5307f6dcdacbMD52unal/60460oai:repositorio.unal.edu.co:unal/604602023-04-07 23:04:24.509Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co