Image Bit-Depth Expansion Method Based On Sparse Representations

but.event.date26.04.2018cs
but.event.titleStudent EEICT 2018cs
dc.contributor.authorZáviška, Pavel
dc.date.accessioned2019-03-04T10:05:53Z
dc.date.available2019-03-04T10:05:53Z
dc.date.issued2018cs
dc.description.abstractIn this paper, a method for restoration of low bit-depth images based on sparse representations is presented. Proposed method is independent on the transform used, however for the purposes of experiments, Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are used. The experiments show that our method enhances the visual quality of low bit-depth images and performs better, in terms of PSNR, than basic bit-depth expansion methods.en
dc.formattextcs
dc.format.extent393-397cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 24th Conference STUDENT EEICT 2018. s. 393-397. ISBN 978-80-214-5614-3cs
dc.identifier.isbn978-80-214-5614-3
dc.identifier.urihttp://hdl.handle.net/11012/138263
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 24th Conference STUDENT EEICT 2018en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectImage processingen
dc.subjectBit-depth expansionen
dc.subjectQuantizationen
dc.subjectFalse Contoursen
dc.subjectSparse Representationsen
dc.subjectDouglas-Rachford Algorithmen
dc.titleImage Bit-Depth Expansion Method Based On Sparse Representationsen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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