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Statistical grey level and noise evaluation of Foveon X3 and CFA image sensors

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Statistical grey level and noise evaluation of Foveon X3 and CFA image sensors

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dc.contributor.author Marqués Mateu, Ángel es_ES
dc.contributor.author Lerma García, José Luis es_ES
dc.contributor.author Riutort Mayol, Gabriel es_ES
dc.date.accessioned 2016-06-08T14:06:54Z
dc.date.available 2016-06-08T14:06:54Z
dc.date.issued 2013-06
dc.identifier.issn 0030-3992
dc.identifier.uri http://hdl.handle.net/10251/65530
dc.description.abstract This paper presents a practical, comprehensive and flexible statistical framework to analyze the radiometric response values and their uncertainty effects on image-based sensor systems. The statistical framework is based on experimental techniques and is tested on two single lens reflex (SLR) cameras powered by different image sensors, Foveon X3 and Color Filter Array (CFA). A colorchecker inside an indoor light booth is used as target. Design of Experiments (DoE) for Linear Models (LM) are derived to analyze and characterize the variability of the output grey level signal (digital number) and their uncertainty effects according to influential factors such as scene reflectance, wavelength range and time. The digital numbers are statistically modeled, and their noise and temporal trend are the uncertainty effects analyzed. Experiments are carried out under laboratory conditions to minimize the rest of uncertainty sources that might affect digital numbers. The flexibility of the statistical framework is confirmed to model and characterize the digital numbers, as well as the noise of a single image and the stability (trend and noise) of a temporal sequence of images. es_ES
dc.description.sponsorship Spanish Ministry of Science and Innovation: HAR2010-18620. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Optics and Laser Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Noise es_ES
dc.subject Radiometry es_ES
dc.subject Grey digital numbers es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title Statistical grey level and noise evaluation of Foveon X3 and CFA image sensors es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.optlastec.2012.09.034
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.description.bibliographicCitation Marqués Mateu, Á.; Lerma García, JL.; Riutort Mayol, G. (2013). Statistical grey level and noise evaluation of Foveon X3 and CFA image sensors. Optics and Laser Technology. 48:1-15. doi:10.1016/j.optlastec.2012.09.034 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.optlastec.2012.09.034 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 48 es_ES
dc.relation.senia 227424


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