Abstract
In order to solve the security problem of medical information and improve the robustness of watermarking algorithms for medical image, a noval watermarking algorithm based on discrete wavelet transform and discrete fractional fourier transform (DWT-DFRFT) was proposed. First, DWT-DFRFT transform was applied to extract the feature vectors of original medical images. And combined with cryptography technology, the extracted feature vectors are represented by a 32-bit symbol sequence, which is derived from the transformation of 4 * 4 submatrix coefficients of the middle part extracted from the energy distribution after DFRFT transformation. Then, the watermark was encrypted with tent chaotic mapping, and the encrypted binarized watermark was associated with the feature vector to realize zero watermarking and blind extraction. After performed both conventional attacks and geometric attacks on medical images, the algorithm is proved to be robust. The experimental results show that it can resist both conventional attacks and geometric attacks, and performs well under geometric attacks.
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References
Kumar, G.D., Teja, D.P., Reddy, S.S., et al.: An efficient watermarking technique for biometric images. Procedia Comput. Sci. 115, 423–430 (2017)
Qin, Z., Weng, J., Cui, Y., et al.: Privacy-preserving image processing in the cloud. IEEE Cloud Comput. 5(2), 48–57 (2018)
Pizzolante, R., Castiglione, A., Carpentieri, B.: Protection of microscopy images through digital watermarking techniques. In: International Conference on Intelligent Networking & Collaborative Systems. IEEE Computer Society (2014)
Zong, T., Xiang, Y., Natgunanathan, I., et al.: Robust histogram shape-based method for image watermarking. IEEE Trans. Circuits Syst. Video Technol. 25(5), 717–729 (2015)
Ahmaderaghi, B., Kurugollu, F., Rincon, J., et al.: Blind image watermark detection algorithm based on discrete shearlet transform using statistical decision theory. IEEE Trans. Comput. Imaging 4(1), 46–59 (2018)
Guo, P.F., Feng, L., Sun, S.Y.: A new digital watermarking algorithm for gray image blind detection. Comput. Eng. Sci. 41, 104–112 (2019)
Bao, L., Zhang, Z.K., Li, Y.J.: A tetrolet transform and SVD combined image blind detection robust digital watermarking algorithm. Comput. Eng. Sci. 39, 492–499 (2017)
Zear, A., Singh, A.K., Kumar, P.: A proposed secure multiple watermarking technique based on DWT, DCT and SVD for application in medicine. Multimed. Tools Appl. 77, 4863–4882 (2018). https://doi.org/10.1007/s11042-016-3862-8
Bamal, R., Kasana, S.S.: Dual hybrid medical watermarking using walsh-slantlet transform. Multimed. Tools Appl. 78, 17899–17927 (2019). https://doi.org/10.1007/s11042-018-6820-9
Guo, B.: The Basic Principle and Application of Fractional Fourier Transform. University of Electronic Science and Technology of China (2006)
Li, Y.B.: Multi-image Encryption Based on Fractional Fourier Transform. Beijing Institute of Technology (2016)
Zhu, K., Yang, D.G., Chen, S.G.: A chaotic encryption method based on inclined tent map is proposed. J. Chongqing Norm. Univ. 26, 99–102 (2009)
Gao, X.L., Ma, X.: Robust digital watermarking algorithm based on compressed sensing and fuzzy theory. Comput. Eng. Des. 38, 2672–2677 (2017)
Singh, A.K., Kumar, B., Dave, M., Mohan, A.: Multiple watermarking on medical images using selective discrete wavelet transform coefficients. J. Med. Imaging Health Inform. 5, 607–614 (2015)
Liu, J., Li, J., Chen, Y., et al.: A robust zero-watermarking based on SIFT-DCT for medical images in the encrypted domain. Comput. Mater. Continua 61, 363–378 (2019)
Liu, J., Li, J., Cheng, J., et al.: A novel robust watermarking algorithm for encrypted medical image based on DTCWT-DCT and chaotic map. Comput. Mater. Continua 61, 889–910 (2019)
Chen, X., Zhao, S., Wang, X., et al.: Texture feature extraction method for ground nephogram based on contourlet and the power spectrum analysis algorithm. Comput. Mater. Continua 61, 861–875 (2019)
Acknowledgements
This work is supported by Hainan Provincial Natural Science Foundation of China [No. 2019RC018], and by the National Natural Science Foundation of China [61762033], 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] and by Dongguan Introduction Program of Leading in Innovative and Entrepreneurial Talents.
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Liu, Y., Li, J., Liu, J., Chen, Y., Li, H., Shen, J. (2020). Medical Image Digital Watermarking Algorithm Based on DWT-DFRFT. 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_60
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DOI: https://doi.org/10.1007/978-981-15-8086-4_60
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