Robust Framework For Digital Image Denoising And Deblurring

Image restoration concerns improving visual quality of a captured image that goes beyond the achievable limit of camera. Recent advancement in imaging and multimedia technology has advocated the interests of image restoration through software, of which applications permeate consumer photography as w...

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Main Author: Toh, Kenny Kal Vin
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.usm.my/44819/1/KENNY%20TOH%20KAL%20VIN.pdf
http://eprints.usm.my/44819/
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spelling my.usm.eprints.44819 http://eprints.usm.my/44819/ Robust Framework For Digital Image Denoising And Deblurring Toh, Kenny Kal Vin TK1-9971 Electrical engineering. Electronics. Nuclear engineering Image restoration concerns improving visual quality of a captured image that goes beyond the achievable limit of camera. Recent advancement in imaging and multimedia technology has advocated the interests of image restoration through software, of which applications permeate consumer photography as well as different industries. Unfortunately, the captured images often suffer from degradations, such as blurring, noise, unpleasant artifacts, and more, due to limitations of the imaging system. Despite considerable efforts have been channeled to advance the state-of-the-art methods, surprisingly, these methods are often slow and only designed for handling specific degradation model. 2012-06 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/44819/1/KENNY%20TOH%20KAL%20VIN.pdf Toh, Kenny Kal Vin (2012) Robust Framework For Digital Image Denoising And Deblurring. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Toh, Kenny Kal Vin
Robust Framework For Digital Image Denoising And Deblurring
description Image restoration concerns improving visual quality of a captured image that goes beyond the achievable limit of camera. Recent advancement in imaging and multimedia technology has advocated the interests of image restoration through software, of which applications permeate consumer photography as well as different industries. Unfortunately, the captured images often suffer from degradations, such as blurring, noise, unpleasant artifacts, and more, due to limitations of the imaging system. Despite considerable efforts have been channeled to advance the state-of-the-art methods, surprisingly, these methods are often slow and only designed for handling specific degradation model.
format Thesis
author Toh, Kenny Kal Vin
author_facet Toh, Kenny Kal Vin
author_sort Toh, Kenny Kal Vin
title Robust Framework For Digital Image Denoising And Deblurring
title_short Robust Framework For Digital Image Denoising And Deblurring
title_full Robust Framework For Digital Image Denoising And Deblurring
title_fullStr Robust Framework For Digital Image Denoising And Deblurring
title_full_unstemmed Robust Framework For Digital Image Denoising And Deblurring
title_sort robust framework for digital image denoising and deblurring
publishDate 2012
url http://eprints.usm.my/44819/1/KENNY%20TOH%20KAL%20VIN.pdf
http://eprints.usm.my/44819/
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score 13.15806