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Analysis of Different Techniques of Image Forgery Detection

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IJCA Proceedings on National Conference on Recent Trends in Computing
© 2012 by IJCA Journal
NCRTC - Number 3
Year of Publication: 2012
Authors:
G. R. Talmale
R. W. Jasutkar

G R Talmale and R W Jasutkar. Article: Analysis of Different Techniques of Image Forgery Detection. IJCA Proceedings on National Conference on Recent Trends in Computing NCRTC(3):13-18, May 2012. Full text available. BibTeX

@article{key:article,
	author = {G. R. Talmale and R. W. Jasutkar},
	title = {Article: Analysis of Different Techniques of Image Forgery Detection},
	journal = {IJCA Proceedings on National Conference on Recent Trends in Computing},
	year = {2012},
	volume = {NCRTC},
	number = {3},
	pages = {13-18},
	month = {May},
	note = {Full text available}
}

Abstract

Multimedia Forensics has become important in the last few years. There are two main interests, namely source identification and forgery detection. Source identification focuses on identifying the source digital devices (cameras, mobile phones, camcorders, etc) using the media produced by them, while forgery detection attempts to discover evidence of tampering by assessing the authenticity of the digital media (audio clips, video clips, images, etc) . Digital images have seen increased use in applications where their authenticity is of prime importance Digital images can be forged easily with today's widely available image processing software In this paper we describe a passive approach to detect digital forgeries by techniques of image forgery.

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