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:	TK1-9971 Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.usm.my/44819/1/KENNY%20TOH%20KAL%20VIN.pdf
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id	my-usm-ep.44819
record_format	uketd_dc
spelling	my-usm-ep.448192019-07-02T07:24:39Z Robust Framework For Digital Image Denoising And Deblurring 2012-06 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 http://eprints.usm.my/44819/ http://eprints.usm.my/44819/1/KENNY%20TOH%20KAL%20VIN.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuteraan Elektrik & Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
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
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuteraan Elektrik & Elektronik
publishDate	2012
url	http://eprints.usm.my/44819/1/KENNY%20TOH%20KAL%20VIN.pdf
_version_	1747821405368483840

Robust Framework For Digital Image Denoising And Deblurring

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