A Robust Image Hashing Algorithm Resistant Against Geometrical Attacks
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Date
2013-12
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Referee
Mark
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Společnost pro radioelektronické inženýrství
Abstract
This paper proposes a robust image hashing method which is robust against common image processing attacks and geometric distortion attacks. In order to resist against geometric attacks, the log-polar mapping (LPM) and contourlet transform are employed to obtain the low frequency sub-band image. Then the sub-band image is divided into some non-overlapping blocks, and low and middle frequency coefficients are selected from each block after discrete cosine transform. The singular value decomposition (SVD) is applied in each block to obtain the first digit of the maximum singular value. Finally, the features are scrambled and quantized as the safe hash bits. Experimental results show that the algorithm is not only resistant against common image processing attacks and geometric distortion attacks, but also discriminative to content changes.
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Citation
Radioengineering. 2013, vol. 22, č. 4, s. 1072-1081. issn 1210-2512
http://www.radioeng.cz/fulltexts/2013/13_04_1072_1081.pdf
http://www.radioeng.cz/fulltexts/2013/13_04_1072_1081.pdf
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Peer-reviewed
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en