Abstract
In order to solve the security problem of patient’s private information contained in medical images such as MRI, CT and X-Ray et al. transmitted on the Internet, a robust watermarking algorithm for medical images based on fast discrete curvelet transform (FDCT) and perceptual hash is proposed. First, perform FDCT on the medical image and select the low-frequency coefficients to do lst level discrete cosine transform. After that, a 4 × 8 size data block in the upper left corner was extracted as the visual feature vector of the medical image. Then, use logistic chaotic encryption which is sensitive to the initial value to generate the encrypted watermark. It can effectively enhance the security of the algorithm. Finally, combining with perceptual hash, cryptography and the concept of the third party, a 32 bit secret key is generated to realize zero-watermark and blind extraction. The simulation results show that the proposed algorithm performed better than the existing schemes in terms of imperceptibility and robustness, and is robust to both conventional attacks and geometric attacks.
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Acknowledgements
This work is supported by the Key Research Project of Hainan Province [ZDYF2018129], the Natural Science Foundation of China [No. 61762033], the Higher Education Research Project of Hainan Province (Hnky2019-73) and the Key Research Project of Haikou College of Economics (HJKZ18-01).
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Liu, J., Li, J., Ma, J., Sadiq, N., Ai, Y. (2019). FDCT and Perceptual Hash-Based Watermarking Algorithm for Medical Images. In: Chen, YW., Zimmermann, A., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare Systems, and Multimedia. Smart Innovation, Systems and Technologies, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-13-8566-7_15
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DOI: https://doi.org/10.1007/978-981-13-8566-7_15
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