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Reversible data hiding in encrypted medical DICOM image

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Abstract

This paper proposes a novel reversible data hiding (RDH) scheme in encrypted domain for medical DICOM images. Although a lot of RDH schemes for encrypted images have been presented, however, most of them are unsuitable for medical DICOM images, as they do not utilize the features of the DICOM image format, and the recovery accuracy is low because medical images have large areas with the same pixel values. To avoid these weaknesses, our scheme segments the image and only embeds data into part of the encrypted image. The redundancy of pixel cells in DICOM images is exploited so that auxiliary data can be embedded into the image. The order of data extraction and image recovery, which can be optimized by the number of recovered blocks around the unrecovered block, is calculated to improve the recovery accuracy. In addition, to ensure the integrity of the DICOM image, the hash value of the minimum bounding rectangle of ROI and the feature bit matrix of the rest are calculated. If the image is tampered, the tampered area, especially ROI, can be accurately detected and located on the receiver side. Experimental results demonstrate the effectiveness of the proposed scheme.

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Acknowledgements

This research was funded by the Construction Project of Shanghai Key Laboratory of Molecular Imaging (Grant no. 18DZ2260400), the Fund from the Shanghai Municipal Education Commission, China (Class II Plateau Disciplinary Construction Program of Medical Technology of SUMHS, 2018–2020), and “Climbing” Program from SUMHS B3-0200-20-311007.

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Authors and Affiliations

  1. Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China

    Ping Kong

  2. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Ping Kong & Di Fu

  3. School of Cyber Security, Qilu University of Technology, Jinan, 250353, Shandong, China

    Chuan Qin

  4. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Xinran Li & Chuan Qin

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  1. Ping Kong
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  2. Di Fu
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  3. Xinran Li
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  4. Chuan Qin
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Correspondence to Chuan Qin.

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Kong, P., Fu, D., Li, X. et al. Reversible data hiding in encrypted medical DICOM image. Multimedia Systems 27, 303–315 (2021). https://doi.org/10.1007/s00530-020-00739-5

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  • DOI: https://doi.org/10.1007/s00530-020-00739-5

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