Abstract
Medical image containing patient information is often faced with various attacks in the transmission process. In order to enhance the medical information system security, and effectively solve the problem of medical data protection, a new algorithm of medical image watermarking based on SIFT-DCT perceptual hashing (scale invariant feature transform and discrete cosine transform) is proposed. Firstly, use SIFT-DCT perceptual hashing to extract features for the original medical images and quantize to generate hashing sequences. Then, use chaotic maps to encrypt the watermarking and embed it in the medical image. Finally, calculate the correlation coefficients of the embedded and extracted watermarking sequences to reflect the robustness of the algorithm. The results of experiment show that the proposed algorithm has good robustness against conventional attacks and geometric attacks, especially in terms of rotation, translation and clipping.
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Acknowledgment
This work is supported by the Key Reach Project of Hainan Province (ZDYF2018129), the National Natural Science Foundation of China (61762033), and the National Natural Science Foundation of Hainan (617048, 2018CXTD333).
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Liu, J., Li, J., Chen, J., Zou, X., Cheng, J., Liu, J. (2018). Medical Image Watermarking Based on SIFT-DCT Perceptual Hashing. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11066. Springer, Cham. https://doi.org/10.1007/978-3-030-00015-8_29
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DOI: https://doi.org/10.1007/978-3-030-00015-8_29
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