Abstract
For most of the current watermarking algorithms, a multi-function color image that can simultaneously perform copyright protection and content authentication is proposed as Dual watermarking algorithm. First, the original image is converted from RGB space to YUV space, and the SURF (speeded up robust feature) of the luminance component is extracted. The marker points, constructs a description vector according to the main direction of the feature point and splits it into two sub-vectors, respectively calculating the cosine clip between them and a reference vector Angle, construct a robust zero watermark sequence by comparing the size relationship of the angles; then 2 × 2 the original image, and the singular value norm of the sub-image block. The XOR operation is performed to generate fragile watermark information and embed it into the least significant bit of the image space. By calculating the original robust zero water at the time of copyright attribution. The correlation coefficient between the printed sequence and the watermark sequence extracted from the image to be detected is used as the basis for identification, and the content authentication is passed. Experimental results show that the proposed algorithm has good performance.
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Acknowledgements
This work is supported by Hainan Provincial Natural Science Foundation of China [No. 2019RC018], and by the Natural Science Foundation of Hainan[617048, 2018CXTD333], and by the Science and Technology Research Project of Chongqing Education Commission [KJQN201800442] and by the Special Scientific Research Project of Philosophy and Social Sciences of Chongqing Medical University [201703].
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Nawaz, S.A. et al. (2020). A Robust Color Image Zero-Watermarking Based on SURF and DCT Features. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Communications in Computer and Information Science, vol 1253. Springer, Singapore. https://doi.org/10.1007/978-981-15-8086-4_61
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DOI: https://doi.org/10.1007/978-981-15-8086-4_61
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