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Survey on blind image forgery detection
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Journal Article
Survey on blind image forgery detection
2013
Overview
With the mushroom growth of state-of-the-art digital image and video manipulations tools, establishing the authenticity of multimedia content has become a challenging issue. Digital image forensics is an increasingly growing research field that symbolises a never ending struggle against forgery and tampering. This survey attempts to cover the blind techniques that have been proposed for exposing forgeries. This work dwells on the detection techniques for three of the most common forgery types, namely copy/move, splicing and retouching.
Publisher
The Institution of Engineering and Technology,Institution of Engineering and Technology,The Institution of Engineering & Technology
Subject
/ blind image forgery detection
/ Blinds
/ Detection, estimation, filtering, equalization, prediction
/ digital image manipulations tools
/ digital video manipulations tools
/ Exact sciences and technology
/ Information, signal and communications theory
/ multimedia content authenticity
/ Signal and communications theory
