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Super-resolution imaging

Thesis (PhD (Electronic Engineering))--University of Stellenbosch, 2010.

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Bibliographic Details
Main Author: Van der Walt, Stefan Johann
Other Authors: Herbst, B. M.
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2010
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access_status_str Open Access
author Van der Walt, Stefan Johann
author2 Herbst, B. M.
author_browse Herbst, B. M.
Van der Walt, Stefan Johann
author_facet Herbst, B. M.
Van der Walt, Stefan Johann
author_sort Van der Walt, Stefan Johann
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (PhD (Electronic Engineering))--University of Stellenbosch, 2010.
format Thesis
id oai:scholar.sun.ac.za:10019.1/5189
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:44:37.487Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2010
publishDateRange 2010
publishDateSort 2010
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/5189 Super-resolution imaging Van der Walt, Stefan Johann Herbst, B. M. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Digital photography Discrete pulse transform Image registration Super-resolution image processing Dissertations -- Electronic engineering Theses -- Electronic engineering Image acquisition Thesis (PhD (Electronic Engineering))--University of Stellenbosch, 2010. Contains bibliography and index. ENGLISH ABSTRACT: Super-resolution imaging is the process whereby several low-resolution photographs of an object are combined to form a single high-resolution estimation. We investigate each component of this process: image acquisition, registration and reconstruction. A new feature detector, based on the discrete pulse transform, is developed. We show how to implement and store the transform efficiently, and how to match the features using a statistical comparison that improves upon correlation under mild geometric transformation. To simplify reconstruction, the imaging model is linearised, whereafter a polygon-based interpolation operator is introduced to model the underlying camera sensor. Finally, a large, sparse, over-determined system of linear equations is solved, using regularisation. The software developed to perform these computations is made available under an open source license, and may be used to verify the results. AFRIKAANSE OPSOMMING: In super-resolusie beeldvorming word verskeie lae-resolusie foto's van 'n onderwerp gekombineer in 'n enkele, hoë-resolusie afskatting. Ons ondersoek elke stap van hierdie proses: beeldvorming, -belyning en hoë-resolusie samestelling. 'n Nuwe metode wat staatmaak op die diskrete pulstransform word ontwikkel om belangrike beeldkenmerke te vind. Ons wys hoe om die transform e ektief te bereken en hoe om resultate kompak te stoor. Die kenmerke word vergelyk deur middel van 'n statistiese model wat bestand is teen klein lineêre beeldvervormings. Met die oog op 'n vereenvoudigde samestellingsberekening word die beeldvormingsmodel gelineariseer. In die nuwe model word die kamerasensor gemodelleer met behulp van veelhoek-interpolasie. Uiteindelik word 'n groot, yl, oorbepaalde stelsel lineêre vergelykings opgelos met behulp van regularisering. Die sagteware wat vir hierdie berekeninge ontwikkel is, is beskikbaar onderhewig aan 'n oopbron-lisensie en kan gebruik word om die gegewe resultate te veri eer. Doctoral 2010-11-25T11:08:06Z 2010-12-15T10:19:42Z 2010-11-25T11:08:06Z 2010-12-15T10:19:42Z 2010-12 Thesis http://hdl.handle.net/10019.1/5189 en University of Stellenbosch 114, 2, 28 p. : ill. application/pdf Stellenbosch : University of Stellenbosch
spellingShingle Digital photography
Discrete pulse transform
Image registration
Super-resolution image processing
Dissertations -- Electronic engineering
Theses -- Electronic engineering
Image acquisition
Van der Walt, Stefan Johann
Super-resolution imaging
title Super-resolution imaging
title_full Super-resolution imaging
title_fullStr Super-resolution imaging
title_full_unstemmed Super-resolution imaging
title_short Super-resolution imaging
title_sort super resolution imaging
topic Digital photography
Discrete pulse transform
Image registration
Super-resolution image processing
Dissertations -- Electronic engineering
Theses -- Electronic engineering
Image acquisition
url http://hdl.handle.net/10019.1/5189
work_keys_str_mv AT vanderwaltstefanjohann superresolutionimaging