Abstract
Picture says thousands words and believe million of people in trusted media like television, news paper and Internet where every second photo images are published in social networks. Unfortunately what we seeing are not believable due to the advance photo editing and manipulation tools are available in digital media art world. We propose trust model to detect popular copy-create and copy-move forgery techniques in common image formats available in digital camera. We succeeded to detect image tampering in given known and unknown image reference source for detectable anomalies in photo image.
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http://ivms.stanford.edu/~varodayan/mentorship/GargHailuSridharan.pdf
Murali S, Anami BS, Chittapur GB (2012) Photo forgery detection techniques. Int J Mach Intell 4(1):405. ISSN 0975-2927
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Murali, S., Chittapur, G.B., Prabhakara, H.S. (2013). Detection of Digital Photo Image Forgery Using Copy-Create Techniques. In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 221. Springer, India. https://doi.org/10.1007/978-81-322-0997-3_26
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DOI: https://doi.org/10.1007/978-81-322-0997-3_26
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