Estimating optimal block size for a copy - move attack detection on highly textured image

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Main Author: Mohd. Shaid, Syed Zainudeen
Format: Thesis
Published: 2009
Subjects:
Online Access:http://eprints.utm.my/id/eprint/18298/
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Institution: Universiti Teknologi Malaysia
id my.utm.18298
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spelling my.utm.182982011-11-18T04:33:02Z http://eprints.utm.my/id/eprint/18298/ Estimating optimal block size for a copy - move attack detection on highly textured image Mohd. Shaid, Syed Zainudeen QA75 Electronic computers. Computer science 2009 Thesis NonPeerReviewed Mohd. Shaid, Syed Zainudeen (2009) Estimating optimal block size for a copy - move attack detection on highly textured image. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohd. Shaid, Syed Zainudeen
Estimating optimal block size for a copy - move attack detection on highly textured image
format Thesis
author Mohd. Shaid, Syed Zainudeen
author_facet Mohd. Shaid, Syed Zainudeen
author_sort Mohd. Shaid, Syed Zainudeen
title Estimating optimal block size for a copy - move attack detection on highly textured image
title_short Estimating optimal block size for a copy - move attack detection on highly textured image
title_full Estimating optimal block size for a copy - move attack detection on highly textured image
title_fullStr Estimating optimal block size for a copy - move attack detection on highly textured image
title_full_unstemmed Estimating optimal block size for a copy - move attack detection on highly textured image
title_sort estimating optimal block size for a copy - move attack detection on highly textured image
publishDate 2009
url http://eprints.utm.my/id/eprint/18298/
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