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dc.contributor.authorConstantinou, Ioannis P.en
dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorPattichis, Constantinos S.en
dc.creatorConstantinou, Ioannis P.en
dc.creatorPattichis, Marios S.en
dc.creatorPattichis, Constantinos S.en
dc.description.abstractThe paper proposes the use of elastic net regression for reconstructing images from AM-FM components. Current AM-FM reconstruction methods are based on Dominant Component Analysis (DCA), multi-scale DCA, and Channel Component Analysis (CCA). The paper introduce a variation on CCA that uses elastic net regression to minimize the number of channels that are used in the reconstruction. The new approach is validated using a family of Gabor filterbanks that is parameterized by an overlap index. The results show that the elastic net regression component selection algorithm performs significantly better than multiscale DCA. © 2013 IEEE.en
dc.publisherIEEE Computer Societyen
dc.sourceConference Record - Asilomar Conference on Signals, Systems and Computersen
dc.source2013 47th Asilomar Conference on Signals, Systems and Computersen
dc.subjectRegression analysisen
dc.subjectNew approachesen
dc.subjectImage reconstructionen
dc.subjectAmplitude modulationen
dc.subjectComponent analysisen
dc.subjectComponent selectionen
dc.subjectDominant component analysisen
dc.subjectElastic neten
dc.subjectFilter banksen
dc.subjectReconstruction methoden
dc.titleMultiscale AM-FM image reconstructions based on elastic net regression and Gabor filterbanksen
dc.description.endingpage1989 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notesConference code: 105226</p>en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]

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