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.
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Sheng, G., Gao, T., Cao, Y., Gao, L., Fan, L. (2012). Robust Algorithm for Detection of Copy-Move Forgery in Digital Images Based on Ridgelet Transform. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_40
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DOI: https://doi.org/10.1007/978-3-642-33478-8_40
Publisher Name: Springer, Berlin, Heidelberg
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