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A Novel Multi-image Encryption Algorithm Based on the RDFrMT and Cascaded Phase Retrieval

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Image and Graphics Technologies and Applications (IGTA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1043))

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Abstract

In this paper, a multi-image encryption method is presented by using the Random Discrete Fractional Mellin Transform (RDFrMT) and the cascaded phase retrieval algorithm (PRA). Firstly, we define the RDFrMT and discuss its properties including nonlinear, multi-parameter, and randomness. Then, based on the RDFrMT, a cascaded multiple-image encryption scheme is proposed. In our algorithm, an image generated by logistic map is transformed to the RDFrMT domain, and the resulting image is fed into the PRA. This nonlinear process makes our cryptosystem robust for potential attacks and ensures its security. Thereafter, the output is cut based on the Hamming distance and the keys are related to multiple input images, which makes our cryptosystem has distinct security level for different images. We repeat the above steps and get a cascaded encryption scheme. Numerical simulations demonstrate the security and feasibility of the proposed scheme.

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Acknowledgement

This work was supported in part by National Natural Science Foundation of China (61701036).

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Authors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Haotian Yang, Tong Li, Sijiang Huang, Fei Qi & Xuejing Kang

Authors
  1. Haotian Yang
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  2. Tong Li
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  3. Sijiang Huang
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  4. Fei Qi
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  5. Xuejing Kang
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Corresponding author

Correspondence to Xuejing Kang .

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Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Yongtian Wang

  2. University of Chinese Academy of Science, Beijing, China

    Qingmin Huang

  3. Institute of Computer Science and Technology, Peking University, Beijing, China

    Yuxin Peng

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Yang, H., Li, T., Huang, S., Qi, F., Kang, X. (2019). A Novel Multi-image Encryption Algorithm Based on the RDFrMT and Cascaded Phase Retrieval. In: Wang, Y., Huang, Q., Peng, Y. (eds) Image and Graphics Technologies and Applications. IGTA 2019. Communications in Computer and Information Science, vol 1043. Springer, Singapore. https://doi.org/10.1007/978-981-13-9917-6_48

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  • DOI: https://doi.org/10.1007/978-981-13-9917-6_48

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9916-9

  • Online ISBN: 978-981-13-9917-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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