International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,February 2018,

Topic : A Review on Image Forgery Detection Techniques on Passive attacks

Authors:Jitesh Kumar Bhatia || Anand Singh Jalal

Abstract:In the today’s era, nearly all of us rely on the images of the memories of our lives and loved ones. The images are useful in proving anything in the court of law by showing them as an evidence of the event, getting insurance of a mishappening, getting appreciation, or for conveying personal lifestyle to their friends through social media. However, various Image editing tools like Adobe Photoshop, Picasa, and Lightroom, etc. can produce forged images, thus changing the perspective of the viewer about the event. Image Forgery has become much prominent nowadays and is being done either for fun or for an intention. Many researchers have worked in finding techniques that can classify the forged and authentic images. This objective of this paper is to provide a glimpse of work done so far in the field of Image Forgery detection.In the today’s era, nearly all of us rely on the images of the memories of our lives and loved ones. The images are useful in proving anything in the court of law by showing them as an evidence of the event, getting insurance of a mishappening, getting appreciation, or for conveying personal lifestyle to their friends through social media. However, various Image editing tools like Adobe Photoshop, Picasa, and Lightroom, etc. can produce forged images, thus changing the perspective of the viewer about the event. Image Forgery has become much prominent nowadays and is being done either for fun or for an intention. Many researchers have worked in finding techniques that can classify the forged and authentic images. This objective of this paper is to provide a glimpse of work done so far in the field of Image Forgery detection..

Keywords: Image Forensics, Image Forgery Detection Techniques, Passive Techniques, Blind Techniques.

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DOI: 01.1617/vol5/iss2/pid16540


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Dr. Allon Guez
Professor, Drexel University,
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Journal Code : IJERCSE
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