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Non-linear image recovery from a single frame super resolution using pearson type VII density

Super-resolution (SR) aims to recover a high resolution (HR) image from one or more low resolution (LR) images. The limitations of the capturing source often results in loss of resolution and the introduction of additive noise. Thus, the capturing image will be distorted and will be insufficient to...

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Bibliographic Details
Main Author: S.A., Pitchay,
Format: Conference Paper
Language:en_US
Published: 2015
Subjects:
High resolution image
Ill posed problem; Image recovery
Low resolution; Low resolution images
Non-linear; Recovering process
Super resolution
Systems engineering
Recovery
Online Access:http://ddms.usim.edu.my/handle/123456789/9221
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spelling my.usim-92212015-08-26T01:21:10Z Non-linear image recovery from a single frame super resolution using pearson type VII density S.A., Pitchay, High resolution image Ill posed problem; Image recovery Low resolution; Low resolution images Non-linear; Recovering process Super resolution Systems engineering Recovery Super-resolution (SR) aims to recover a high resolution (HR) image from one or more low resolution (LR) images. The limitations of the capturing source often results in loss of resolution and the introduction of additive noise. Thus, the capturing image will be distorted and will be insufficient to sample the image with adequate resolution. In this scenario when there exists only a single frame of low resolution, often the observed frame is deficient or noisy, which makes the recovering process an ill-posed problem where the solution does not exist or is unique. © 2011 Springer Science+Business Media, LLC. 2015-08-26T01:21:10Z 2015-08-26T01:21:10Z 2011-01-01 Conference Paper 9781-4614-0372-2 1876-1100 http://ddms.usim.edu.my/handle/123456789/9221 en_US
institution Universiti Sains Islam Malaysia
building USIM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universit Sains Islam i Malaysia
content_source USIM Institutional Repository
url_provider http://ddms.usim.edu.my/
language en_US
topic High resolution image
Ill posed problem; Image recovery
Low resolution; Low resolution images
Non-linear; Recovering process
Super resolution
Systems engineering
Recovery
spellingShingle High resolution image
Ill posed problem; Image recovery
Low resolution; Low resolution images
Non-linear; Recovering process
Super resolution
Systems engineering
Recovery
S.A., Pitchay,
Non-linear image recovery from a single frame super resolution using pearson type VII density
description Super-resolution (SR) aims to recover a high resolution (HR) image from one or more low resolution (LR) images. The limitations of the capturing source often results in loss of resolution and the introduction of additive noise. Thus, the capturing image will be distorted and will be insufficient to sample the image with adequate resolution. In this scenario when there exists only a single frame of low resolution, often the observed frame is deficient or noisy, which makes the recovering process an ill-posed problem where the solution does not exist or is unique. © 2011 Springer Science+Business Media, LLC.
format Conference Paper
author S.A., Pitchay,
author_facet S.A., Pitchay,
author_sort S.A., Pitchay,
title Non-linear image recovery from a single frame super resolution using pearson type VII density
title_short Non-linear image recovery from a single frame super resolution using pearson type VII density
title_full Non-linear image recovery from a single frame super resolution using pearson type VII density
title_fullStr Non-linear image recovery from a single frame super resolution using pearson type VII density
title_full_unstemmed Non-linear image recovery from a single frame super resolution using pearson type VII density
title_sort non-linear image recovery from a single frame super resolution using pearson type vii density
publishDate 2015
url http://ddms.usim.edu.my/handle/123456789/9221
_version_ 1645152565819604992
score 13.159267

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