A Survey on Photo Forgery Detection Methods
In recent years, digital image forgery detection has become one of the hardest studying area for researchers investigations in the field of information security and image processing. Image forgery detection methods can be divided into two extensive groups such as Active methods and Passive (Blind) m...
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2018-01-01
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Online Access: | https://doi.org/10.1051/itmconf/20182201055 |
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doaj-ee634781b19a4f8b8b7ca6962a93b1352021-04-02T10:51:19ZengEDP SciencesITM Web of Conferences2271-20972018-01-01220105510.1051/itmconf/20182201055itmconf_cmes2018_01055A Survey on Photo Forgery Detection MethodsGurunlu BilgehanOzturk SerkanIn recent years, digital image forgery detection has become one of the hardest studying area for researchers investigations in the field of information security and image processing. Image forgery detection methods can be divided into two extensive groups such as Active methods and Passive (Blind) methods. Active methods have been used data hiding techniques like watermarking and digital signatures. Passive forensic methods (or Blind) use image statistics or they investigate the attributes of the image to determine the forgeries. Passive detection techniques are also split into three branches; image splicing, image retouching, copy-move. Such image forgery detection methods are focus of this paper.https://doi.org/10.1051/itmconf/20182201055 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gurunlu Bilgehan Ozturk Serkan |
spellingShingle |
Gurunlu Bilgehan Ozturk Serkan A Survey on Photo Forgery Detection Methods ITM Web of Conferences |
author_facet |
Gurunlu Bilgehan Ozturk Serkan |
author_sort |
Gurunlu Bilgehan |
title |
A Survey on Photo Forgery Detection Methods |
title_short |
A Survey on Photo Forgery Detection Methods |
title_full |
A Survey on Photo Forgery Detection Methods |
title_fullStr |
A Survey on Photo Forgery Detection Methods |
title_full_unstemmed |
A Survey on Photo Forgery Detection Methods |
title_sort |
survey on photo forgery detection methods |
publisher |
EDP Sciences |
series |
ITM Web of Conferences |
issn |
2271-2097 |
publishDate |
2018-01-01 |
description |
In recent years, digital image forgery detection has become one of the hardest studying area for researchers investigations in the field of information security and image processing. Image forgery detection methods can be divided into two extensive groups such as Active methods and Passive (Blind) methods. Active methods have been used data hiding techniques like watermarking and digital signatures. Passive forensic methods (or Blind) use image statistics or they investigate the attributes of the image to determine the forgeries. Passive detection techniques are also split into three branches; image splicing, image retouching, copy-move. Such image forgery detection methods are focus of this paper. |
url |
https://doi.org/10.1051/itmconf/20182201055 |
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