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Robust zero-watermarking algorithm for medical images based on SIFT and Bandelet-DCT

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Abstract

The gradual improvement of traditional medicare in the cloud has greatly promoted the development of medical enterprise. Meanwhile, problems such as the leakage of patients’ personal information, the theft, and tamper of medical images transmitted in the cloud have become increasingly prominent. To solve the above problems, a novel zero-watermarking algorithm for medical images based on bandelet and discrete cosine transform (Bandelet-DCT) is proposed. First, Scale Invariant Feature Transform (SIFT) is performed on the original medical image for extracting the features as the preprocessing step. Second, the chaotic system tent map is used to encrypt the watermark which contained patients’ information. Then, Bandelet-DCT is applied to extract the visual feature vectors of medical images. Finally, the watermark embedding and extraction are realized by combining zero-watermarking technology and cryptography related technology. The experimental results show that the proposed algorithm has strong robustness and can effectively solve the problem of information leakage. It has a strong anti-attack ability, good robustness, and certain application prospects.

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Acknowledgments

This work was supported in part by the Natural Science Foundation of China under Grant 62063004 and 61762033, in part by the Hainan Provincial Natural Science Foundation of China under Grant 2019RC018 and 619QN246, by the Postdoctoral Science Foundation under Grant 2020TQ0293, by the Science and Technology Research Project of Chongqing Education Commission Under Grant KJQN201800442, and by the General Project of Chongqing Natural Science Foundation Under Grant cstc2020jcyj-msxmX0422.

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Authors and Affiliations

  1. School of Information and Communication Engineering, Hainan University, Haikou, Hainan, People’s Republic of China

    Yangxiu Fang, Jingbing Li, Jiabin Hu, Dan Yi & Xiliang Xiao

  2. Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, Zhejiang, People’s Republic of China

    Jing Liu

  3. State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University, Haikou, Hainan, People’s Republic of China

    Jingbing Li

  4. School of Computer Science and Cyberspace Security, Hainan University, Haikou, Hainan, People’s Republic of China

    Jieren Cheng

  5. School of Geography (Remote sensing and GIS Lab), Nanjing Normal University, Nanjing, Jiangsu, People’s Republic of China

    Uzair Aslam Bhatti

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  1. Yangxiu Fang
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  2. Jing Liu
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  3. Jingbing Li
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  4. Jieren Cheng
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  8. Uzair Aslam Bhatti
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Correspondence to Jingbing Li.

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Fang, Y., Liu, J., Li, J. et al. Robust zero-watermarking algorithm for medical images based on SIFT and Bandelet-DCT. Multimed Tools Appl 81, 16863–16879 (2022). https://doi.org/10.1007/s11042-022-12592-x

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