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dc.date.accessioned2013-11-21T11:04:57Z
dc.date.available2013-11-21T11:04:57Z
dc.date.issued2013en_US
dc.date.submitted2013-06-03en_US
dc.identifier.citationBjørnsen, Øyvind Lund. Image Enhancement by Spline Framelets. Masteroppgave, University of Oslo, 2013en_US
dc.identifier.urihttp://hdl.handle.net/10852/37738
dc.description.abstractImage enhancement has many applications. This thesis is devoted to image inpainting, which is to fill in the corrupted or missing pixels in a meaningful way. These pixels may be deteriorated or missing for various reasons, e.g., if the image is transmitted through a noisy channel. The presentation herein is inspired by the image inpainting algorithm by Chan et al. \cite{Chan}, which makes use of so-called tight frames. Tight frames come in diverse flavors. One type of tight frames is based on B-splines which are piecewise polynomials of minimal support. The contribution of this thesis is a practical presentation of the theory underpinning tight frames, including the application to the image inpainting problem. The contribution is a survey of the relevant theory regarding multiresolution analysis, wavelets and wavelet frames. Numerical experiments are included to visualize the performance of the algorithm, and an improvement to the algorithm is proposed for a specific problem.eng
dc.language.isoengen_US
dc.titleImage Enhancement by Spline Frameletsen_US
dc.typeMaster thesisen_US
dc.date.updated2013-11-15en_US
dc.creator.authorBjørnsen, Øyvind Lunden_US
dc.subject.nsiVDP::413en_US
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft.au=Bjørnsen, Øyvind Lund&rft.title=Image Enhancement by Spline Framelets&rft.inst=University of Oslo&rft.date=2013&rft.degree=Masteroppgaveen_US
dc.identifier.urnURN:NBN:no-39766
dc.type.documentMasteroppgaveen_US
dc.identifier.duo182097en_US
dc.contributor.supervisorKnut Mørkenen_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/37738/2/OLBjornsen_ImageEnhancement_master.pdf


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