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Fuzzy motion adaptive algorithm and its hardware implementation for video de-interlacing

 

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dc.creator Gutiérrez Ríos, Julio es
dc.creator Brox Jiménez, Piedad es
dc.creator Fernández Hernández, F. es
dc.creator Baturone Castillo, María Iluminada es
dc.date.accessioned 2017-04-11T11:41:08Z
dc.date.available 2017-04-11T11:41:08Z
dc.date.issued 2011
dc.identifier.issn 1568-4946 es
dc.identifier.uri http://hdl.handle.net/11441/57470
dc.description.abstract Interlacing techniques were introduced in the early analog TV transmission systems as an efficient mechanism capable of halving the video bandwidth. Currently, interlacing is also used by some modern digital TV transmission systems, however, there is a problem at the receiver side since the majority of modern display devices require a progressive scanning. De-interlacing algorithms convert an interlaced video signal into a progressive one by performing interpolation. To achieve good de-interlacing results, dynamical and local image features should be considered. The gradual adaptation of the de-interlacing technique as a function of the level of motion detected in each pixel is a powerful method that can be carried out by means of fuzzy inference. The starting point of our study is an algorithm that uses a fuzzy inference system to evaluate motion locally (FMA algorithm). Our approach is based on convolution techniques to process a fuzzy rulebase for motion-adaptive de-interlacing. Different strategies based on bi-dimensional convolution techniques are proposed. In particular, the algorithm called 'single convolution algorithm' introduces significant advantages: a more accurate measurement of the level of motion using a matrix of weights, and a unique fuzzification process after the global estimation, which reduces the computational cost. Different architectures for the hardware implementation of this algorithm are described in VHDL language. The physical realization is carried out on a RC100 Celoxica FPGA development board. © 2010 Elsevier B.V. es
dc.description.sponsorship Comunidad Europea FP7-INFSO-ICT-248858 es
dc.description.sponsorship Gobierno de España TIN2005-08943-C02-01 y TEC2008-04920 es
dc.description.sponsorship Junta de Andalucía P08-TIC-03674 es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher Elsevier es
dc.relation.ispartof Applied Soft Computing Journal, 11 (4), 3311-3320. es
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject De-interlacing es
dc.subject Fuzzy Logic es
dc.subject Motion Adaptive es
dc.subject Convolution es
dc.title Fuzzy motion adaptive algorithm and its hardware implementation for video de-interlacing es
dc.type info:eu-repo/semantics/article es
dc.type.version info:eu-repo/semantics/acceptedVersion es
dc.rights.accessrights info:eu-repo/semantics/openAccess es
dc.contributor.affiliation Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo es
dc.relation.publisherversion 10.1016/j.asoc.2010.12.008 es
dc.relation.publisherversion http://dx.doi.org/10.1016/j.asoc.2010.12.008
dc.identifier.doi http://dx.doi.org/10.1016/j.asoc.2010.12.008 es
idus.format.extent 24 p. es
dc.journaltitle Applied Soft Computing Journal es
dc.publication.volumen 11 es
dc.publication.issue 4 es
dc.publication.initialPage 3311 es
dc.publication.endPage 3320 es
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