Multi-resolution reconstruction of spectral images from compressed measurements by single pixel optical sensing architecture

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dc.contributor.advisorArguello Fuentes, Henry
dc.contributor.advisorCorrea Pugliese, Claudia Victoria
dc.contributor.authorGarcia Arenas, Hans Yecid
dc.date.accessioned2024-03-04T00:05:40Z
dc.date.available2018
dc.date.available2024-03-04T00:05:40Z
dc.date.created2018
dc.date.issued2018
dc.description.abstractenglishSpectral imaging is used in a wide range of applications for non-invasive detection and classification. However, the massive amount of involved data increases its processing and storing costs. In contrast, compressive spectral imaging (CSI) establishes that the threedimensional spectral data cube can be recovered from a small set of projections that are generally captured in 2-dimensional detectors. Furthermore, the single-pixel camera (SPC) has been also employed for spectral imaging. Specifically, SPC captures the spatial and spectral information in a single measurement. CSI reconstructions are traditionally obtained by solving a minimization problem using iterative algorithms. However, the computational load of these algorithms is high due to the dimensionality of the involved sensing matrices. In this work, a Multi-resolution (MR) reconstruction model is proposed such that the complexity of the inverse problem can be reduced by grouping pixels with spectral similarities from an initial fast-low-resolution reconstruction of the scene.
dc.description.degreelevelMaestría
dc.description.degreenameMagíster en Ingeniería Electrónica
dc.format.mimetypeapplication/pdf
dc.identifier.instnameUniversidad Industrial de Santander
dc.identifier.reponameUniversidad Industrial de Santander
dc.identifier.repourlhttps://noesis.uis.edu.co
dc.identifier.urihttps://noesis.uis.edu.co/handle/20.500.14071/38696
dc.language.isospa
dc.publisherUniversidad Industrial de Santander
dc.publisher.facultyFacultad de Ingenierías Fisicomecánicas
dc.publisher.programMaestría en Ingeniería Electrónica
dc.publisher.schoolEscuela de Ingenierías Eléctrica, Electrónica y Telecomunicaciones
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.creativecommonsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.licenseAttribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0
dc.subject.keywordMulti-Resolution
dc.subject.keywordSuper-Pixel
dc.subject.keywordSingle Pixel Camera
dc.subject.keywordCompressive Spectral Imaging.
dc.titleMulti-resolution reconstruction of spectral images from compressed measurements by single pixel optical sensing architecture
dc.title.englishMulti-resolution reconstruction of spectral images from compressed measurements by single pixel optical sensing architecture
dc.type.coarhttp://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.hasversionhttp://purl.org/coar/resource_type/c_bdcc
dc.type.localTesis/Trabajo de grado - Monografía - Maestria
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