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Splicing Forgery Detection and the Impact of Image Resolution
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.ORCID-id: 0000-0002-4390-411x
2017 (engelsk)Inngår i: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE - ECAI 2017, IEEE , 2017Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

With the development of the Internet, and the increase in the online storage space, there has been an explosion in the volume of videos and images circulating online. An important part of the digital forensics' tasks is to scrutinise part of these images to make important decisions. Digital tampering of images can impede reliability of these decisions. Through this paper we attempt to improve the detection rate of splicing forgery. We also examine how well the examined splicing forgery detection algorithm works on low-resolution images. In this paper, the aim is to enhance the accuracy of an existing algorithm. One tailed Wilcoxon signed rank test was utilised to compare the performance of the different algorithms.

sted, utgiver, år, opplag, sider
IEEE , 2017.
Serie
International Conference on Electronics Computers and Artificial Intelligence, ISSN 2378-7147
Emneord [en]
Image Processing, Splicing Forgery, Machine Learning, Image Resolution
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-15979ISI: 000425865900047ISBN: 978-1-5090-6458-8 (tryckt)OAI: oai:DiVA.org:bth-15979DiVA, id: diva2:1192762
Konferanse
9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Targoviste, ROMANIA
Tilgjengelig fra: 2018-03-23 Laget: 2018-03-23 Sist oppdatert: 2018-03-27bibliografisk kontrollert

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Totalt: 79 treff
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