Restoring degraded astronomy images using a combination of denoising and deblurring techniques

Restoring degraded astronomy images using a combination of denoising and deblurring techniques

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Main Author: Ibrahim Al-Ameen, Zohair Qays
Format: Thesis
Published: 2011
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id my-utm-ep.26376
record_format uketd_dc
spelling my-utm-ep.263762017-07-05T04:11:55Z Restoring degraded astronomy images using a combination of denoising and deblurring techniques 2011 Ibrahim Al-Ameen, Zohair Qays Unspecified 2011 Thesis http://eprints.utm.my/id/eprint/26376/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Restoring+degraded+astronomy+images+using+a+combination+of+denoising+and+deblurring+techniques&te= masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic Unspecified
spellingShingle Unspecified
Ibrahim Al-Ameen, Zohair Qays
Restoring degraded astronomy images using a combination of denoising and deblurring techniques
description
format Thesis
qualification_level Master's degree
author Ibrahim Al-Ameen, Zohair Qays
author_facet Ibrahim Al-Ameen, Zohair Qays
author_sort Ibrahim Al-Ameen, Zohair Qays
title Restoring degraded astronomy images using a combination of denoising and deblurring techniques
title_short Restoring degraded astronomy images using a combination of denoising and deblurring techniques
title_full Restoring degraded astronomy images using a combination of denoising and deblurring techniques
title_fullStr Restoring degraded astronomy images using a combination of denoising and deblurring techniques
title_full_unstemmed Restoring degraded astronomy images using a combination of denoising and deblurring techniques
title_sort restoring degraded astronomy images using a combination of denoising and deblurring techniques
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2011
_version_ 1747815461336121344

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