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A structured approach to JPEG tampering detection using enhanced fusion algorithm
Chennupati, Om sai teja
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
2021 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2021. , p. 58
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:bth-21195
OAI: oai:DiVA.org:bth-21195
DiVA, id:
diva2:1535158
Subject / course
DV2572 Master´s Thesis in Computer Science
Educational program
DVADA Master Qualification Plan in Computer Science
Supervisors
Cheddad, Abbas, Senior lecturer/Associate professor
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Examiners
Mendes, Emilia
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Available from:
2021-03-09
Created:
2021-03-08
Last updated:
2025-09-30
Bibliographically approved
Open Access in DiVA
A structured approach to JPEG tampering detection using enhanced fusion algorithm
(530 kB)
1807 downloads
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FULLTEXT02.pdf
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530 kB
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8b95b0d8da4b49120c01d6e293ea48461c1e893191f6f14323a2c32ff19cba0a04d2406e1ea35ca2aa5c47fea3fbfbecef325dac733ec27480929a0acf36a3fa
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Department of Computer Science
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Computer Sciences
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Total: 1807 downloads
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https://urn.kb.se/resolve?urn=urn:nbn:se:bth-21195
Direct link
https://bth.diva-portal.org/smash/record.jsf?pid=diva2:1535158
Cite
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apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
Other style
More styles
Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
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de-DE
en-GB
en-US
fi-FI
nn-NO
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html
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rtf
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