Robust image hash in Radon transform domain for authentication |
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Authors: | Yanqiang Lei |
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Affiliation: | a School of Information Science and Technology, Sun Yat-Sen University, Guangzhou 510006, China b State Key Laboratory of Information Security, Beijing 100190, China |
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Abstract: | Image authentication has become an emergency issue in the digital world as it can be easily tampered with the image editing techniques. In this paper, a novel robust hashing method for image authentication is proposed. The reported scheme first performs Radon transform (RT) on the image, and calculates the moment features which are invariant to translation and scaling in the projection space. Then discrete Fourier transform (DFT) is applied on the moment features to resist rotation. Finally, the magnitude of the significant DFT coefficients is normalized and quantized as the image hash bits. Experimental results show that the proposed algorithm can tolerate almost all the typical image processing manipulations, including JPEG compression, geometric distortion, blur, addition of noise, and enhancement. Compared with other approaches in the literature, the reported method is more effective for image authentication in terms of detection performance and the hash size. |
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Keywords: | Image authentication Robust image hashing Radon transform Invariant moment Discrete Fourier transform |
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