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Image deblurring and blur kernel estimation of motion blurred colour photographs

Thesis (MSc)--Stellenbosch University, 2016

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Main Author: Engelbrecht, Jan-At
Other Authors: Maritz, Milton Frick
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2016
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access_status_str Open Access
author Engelbrecht, Jan-At
author2 Maritz, Milton Frick
author_browse Engelbrecht, Jan-At
Maritz, Milton Frick
author_facet Maritz, Milton Frick
Engelbrecht, Jan-At
author_sort Engelbrecht, Jan-At
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MSc)--Stellenbosch University, 2016
format Thesis
id oai:scholar.sun.ac.za:10019.1/98753
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:45:43.568Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/98753 Image deblurring and blur kernel estimation of motion blurred colour photographs Engelbrecht, Jan-At Maritz, Milton Frick Stellenbosch University. Faculty of Science. Department Mathematical Sciences. Applied Mathematics Blind deconvolution (Applied mathematics) Digital images -- Deconvolution Blur kernel estimation Images, Photographic -- Blurred Thesis (MSc)--Stellenbosch University, 2016 ENGLISH ABSTRACT : Blurred images can be restored using known deconvolution methods. Image blur can be caused by various factors during the image acquisition phase, such as camera defocus or motion. The restoration of blurred images is further complicated by the addition of possible electronic noise. In this report we propose a direct method where the kernel is estimated by nding possible edges in the blurred image using edge detection. A sinogram of the blur kernel is obtained by sampling and then di erentiating across edges in the image for a su cient number of edge orientations. This sinogram is then improved by making use of a sinogram interpolation technique. The application of the inverse Radon transform then yields the kernel which is used to restore the image. AFRIKAANSE OPSOMMING : Vervaagde (d.w.s. uit-fokus) beelde kan herstel word met behulp van bekende dekonvolusiemetodes. Beeldvervaging kan deur verskeie faktore gedurende die verkryging van die beeld veroorsaak word, soos swak fokus of deur beweging van die kamera. Die herstel van vervaagde beelde word verder gekompliseer deur die toevoeging van moontlike elektroniese ruis. In hierdie tesisword 'n direkte metode voorgestel, waar die vervagingskern beraam word deur moontlike rande in die vervaagde beeld met behulp van die randopsporingstegnieke te vind. 'n Sinogram van die vervagingskern word dan verkry deur oor verskeie rande in die beeld te monster vir 'n voldoende aantal randorià ntasies en dan te di erensieer. Die sinogram word dan verbeter deur gebruik te maak van 'n sinogram-interpolasietegniek. Die toepassing van die inverse Radon-transform verskaf die kern, wat gebruik word om die beeld te herstel. 2016-03-09T14:57:30Z 2016-03-09T14:57:30Z 2016-02-23 Thesis http://hdl.handle.net/10019.1/98753 en_ZA Stellenbosch University xiii, 120 pages : illustrations (some colour) application/pdf Stellenbosch : Stellenbosch University
spellingShingle Blind deconvolution (Applied mathematics)
Digital images -- Deconvolution
Blur kernel estimation
Images, Photographic -- Blurred
Engelbrecht, Jan-At
Image deblurring and blur kernel estimation of motion blurred colour photographs
title Image deblurring and blur kernel estimation of motion blurred colour photographs
title_full Image deblurring and blur kernel estimation of motion blurred colour photographs
title_fullStr Image deblurring and blur kernel estimation of motion blurred colour photographs
title_full_unstemmed Image deblurring and blur kernel estimation of motion blurred colour photographs
title_short Image deblurring and blur kernel estimation of motion blurred colour photographs
title_sort image deblurring and blur kernel estimation of motion blurred colour photographs
topic Blind deconvolution (Applied mathematics)
Digital images -- Deconvolution
Blur kernel estimation
Images, Photographic -- Blurred
url http://hdl.handle.net/10019.1/98753
work_keys_str_mv AT engelbrechtjanat imagedeblurringandblurkernelestimationofmotionblurredcolourphotographs