Introduction

Bimonthly, started in 1957
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N
location: home> Online First
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  • Multimodal medical image protection algorithm based on genetic coding and coupled hyperchaotic mapping

    DOI:
    10.16355/j.tyut.1007-9432.20230577
    abstract:
    In order to ensure the security of multimodal medical images, a multimodal medical image protection algorithm based on genetic coding and coupled hyperchaotic mapping is proposed. In the stage of chaotic sequence generation, CMC-CTBCS coupling model is proposed, and three-dimensional Sine-ICMIC cascade mapping (3D-SICM) is constructed with Sine mapping (Sine) and Iterative chaotic map with infinite collapses (ICMIC) as seed mapping, which is applied to the design of multi-mode medical image encryption. The stage of image encryption mainly includes three parts: multi-mode medical image fusion algorithm, zero watermarking authentication algorithm based on edge detection, and genetic coding selection encryption algorithm. Firstly, a multi-modal medical image fusion scheme in NSCT domain based on phase consistency and local Laplace energy was used to fuse magnetic resonance imaging (MRI) and single photon emission computed tomography (SPECT). Zero watermark information authentication based on edge detection was realized in the fusion process, and the fused mark image was generated. The tagged images were then encrypted using a selective encryption scheme based on dynamic DNA coding and 6-bit RNA-S-box substitution. Theoretical analysis and numerical simulation show that the algorithm has good security.
    Keywords:
    edge detection; DNA encoding; 6bit RNA-S-box; coupled chaotic map; zero watermarking

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