Robust algorithm for detection of copy-move forgery in digital images based on ridgelet transform

Authors:
Guorui Sheng;Tiegang Gao;Yanjun Cao;Lin Gao;Li Fan
Affiliations:
College of Software, Information Security Technology Lab., Nankai University, Tianjin, China,College of Information Technical Science, Nankai University, Tianjin, China;College of Software, Information Security Technology Lab., Nankai University, Tianjin, China;College of Software, Information Security Technology Lab., Nankai University, Tianjin, China,College of Information Technical Science, Nankai University, Tianjin, China;College of Software, Information Security Technology Lab., Nankai University, Tianjin, China,College of Information Technical Science, Nankai University, Tianjin, China;College of Software, Information Security Technology Lab., Nankai University, Tianjin, China,College of Information Technical Science, Nankai University, Tianjin, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

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Abstract

The rapid development in image processing techniques has enabled people to easily synthesize realistic images; this may result in the social problems when a doctored image cannot be distinguished from a real one by visual examination, so, the digital image authentication becomes more and more important in our daily life. In this paper, a robust algorithm based on ridgelet transform is proposed to detect copy-move forgery which is the most popular method in image tampering. The proposed method has the advantage of simplicity and low complexity of calculating. Simplicity lies in the vectors got by calculating Hu moments of the ridgelet transform domain; vectors with the length of 7 results in low complexity of calculating. The given experimental results show that our algorithm has good performance of detection of copy-move forgery, even the image undergo some kind of JPEG compress.