Volume -I , Issue -IV, April 2014
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AN ASSESSMENT OF DIGITAL IMAGE FORGERY DETECTION TECHNIQUES
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Author(s) :
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Dhara Anandparav
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Abstract
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With advent of many tools in the digital images, image for gery is the big concern today in Digital
Forensics Industry . Digital Image for gery is one of the well-known field in which one can change image
in different ways using several powerful editing softwar e's, as a result it become a serious social
problem. For this, researchers continuously exploring new approaches to detect image for gery areas and
change it to original pixel values if possible. In recent years, the detection of for ged region has become
one of the most active research topics in blind image for ensics. Many techniques and algorithms have
been proposed to process on post-processed images. This paper surveys these different techniques and its
limitations and based on the outcomes it draws the line to exhibit the futur e concern areas in digital
image for gery detection. |
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Keywords
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Digital Forensics; image forgery detection; manipulation detection; copy-paste forgery detection |
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References
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- Multimedia T ools Applicat.Jan. 2011.
- H. Farid, “A survey of image forgery detection”, In Signal Process. Mag., Mar. 2009
- J. Fridrich, B. Soukal and Lukas, “Detection of copy-move forgery in digital images”, in Proc. Digital
- Popescu and H. Farid, “Exposing digital forgeries by detecting duplicated image regions”, In Dept.
- forensics Res. Workshop, 2003.
- J. Redi, W . T aktak, and J.-L. Dugelay, “Digital image forensics: A booklet for beginners”, In
- Comput. Sci., Dartmouth College, T ech. Rep., 2004.
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How to Cite this Paper? [APA Style]
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Dhara Anandparav, (2014), AN ASSESSMENT OF DIGITAL IMAGE FORGERY DETECTION TECHNIQUES, Industrial Science Journal, http://industrialscience.org/Article.aspx?aid=32&vid=4, (April, 2014)
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