dc.date.accessioned | 2013-11-21T11:04:39Z | |
dc.date.available | 2013-11-21T11:04:39Z | |
dc.date.issued | 2012 | en_US |
dc.date.submitted | 2012-12-18 | en_US |
dc.identifier.citation | Trotter, James David. Total variation-based image restoration for a single-sensor digital colour camera. Masteroppgave, University of Oslo, 2012 | en_US |
dc.identifier.uri | http://hdl.handle.net/10852/37733 | |
dc.description.abstract | Modern digital colour cameras are faced with a number of challenges in producing high-quality images, including noisy sensor measurements and chromatic aberration due to dispersion in the optics. In addition, most digital colour cameras use a single sensor combined with a set of colour filters to capture red, green and blue wavelengths of light at different spatial locations in a mosaic-like pattern. Hence, some form of interpolation, often called demosaicking, is required to produce a full colour image. These image restoration tasks are formulated as ill-posed inverse problems and solved through a regularisation inspired by the total variation (TV) denoising algorithm of Rudin, Osher and Fatemi. This leads to convex variational problems and edge-preserving image restorations. To solve these problems, an efficient primal-dual algorithm from convex analysis is adopted. In addition to some standard image restoration problems, we apply these methods to chromatic aberration and demosaicking. A TV-based demosaicking model is developed based on a decomposition of the image into luminance and chrominance components which are then regularised separately. The proposed method demonstrates improved results for demosaicking a set of standard test images. | eng |
dc.language.iso | eng | en_US |
dc.title | Total variation-based image restoration for a single-sensor digital colour camera | en_US |
dc.type | Master thesis | en_US |
dc.date.updated | 2013-11-15 | en_US |
dc.creator.author | Trotter, James David | en_US |
dc.subject.nsi | VDP::413 | en_US |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft.au=Trotter, James David&rft.title=Total variation-based image restoration for a single-sensor digital colour camera&rft.inst=University of Oslo&rft.date=2012&rft.degree=Masteroppgave | en_US |
dc.identifier.urn | URN:NBN:no-39761 | |
dc.type.document | Masteroppgave | en_US |
dc.identifier.duo | 174542 | en_US |
dc.contributor.supervisor | Knut Mørken, Lars Aurdal, Jan Tore Korneliussen, Per Ove Husøy | en_US |
dc.identifier.fulltext | Fulltext https://www.duo.uio.no/bitstream/handle/10852/37733/2/TrotterJD_thesis.pdf | |