Authors
Tanzeela Qazi, Khizar Hayat, Samee U Khan, Sajjad A Madani, Imran A Khan, Joanna Kołodziej, Hongxiang Li, Weiyao Lin, Kin Choong Yow, Cheng‐Zhong Xu
Publication date
2013/10
Source
IET Image Processing
Volume
7
Issue
7
Pages
660-670
Publisher
The Institution of Engineering and Technology
Description
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.
Total citations
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Scholar articles
T Qazi, K Hayat, SU Khan, SA Madani, IA Khan… - IET Image Processing, 2013