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Related Experiment Video

Updated: Jul 15, 2025

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
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A Novel 3D Reversible Data Hiding Scheme Based on Integer-Reversible Krawtchouk Transform for IoMT.

Mohamed Yamni1, Achraf Daoui2, Paweł Pławiak3,4

  • 1Dhar El Mahrez Faculty of Science, Sidi Mohamed Ben Abdellah-Fez University, Fez 30000, Morocco.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
Summary

We developed an integer and reversible Krawtchouk transform (IRKT) for lossless image processing. This enables a novel 3D reversible data hiding (RDH) algorithm for secure medical data storage and transmission in the Internet of Medical Things (IoMT).

Keywords:
integer–reversible Krawtchouk transform (IRKT)internet of medical things (IoMT)reversible data hiding (RDH)secure storage and transmission

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Area of Science:

  • Digital Image Processing
  • Data Security and Privacy
  • Medical Imaging

Background:

  • Floating-point Krawtchouk transform in image processing suffers from rounding errors due to limited significant digits.
  • Existing 2D reversible data hiding (RDH) algorithms have limitations for large-scale medical image data.
  • The Internet of Medical Things (IoMT) requires secure methods for storing and transmitting extensive medical data.

Purpose of the Study:

  • To introduce an integer and reversible Krawtchouk transform (IRKT) to overcome rounding errors in image processing.
  • To propose a novel 3D RDH algorithm based on IRKT for secure medical data embedding in IoMT.
  • To enhance the security and efficiency of medical data storage and transmission in the IoMT sector.

Main Methods:

  • Developed an integer and reversible Krawtchouk transform (IRKT) generating integer coefficients.
  • Designed a 3D RDH algorithm utilizing the IRKT for embedding data into 3D medical images.
  • Conducted extensive experimental evaluations to assess embedding capacity, imperceptibility, and security.

Main Results:

  • The proposed IRKT generates integer coefficients, suitable for lossless image applications.
  • The IRKT-based 3D RDH algorithm achieves high embedding capacity without increasing original image size.
  • The algorithm demonstrates imperceptibility and resilience against statistical attacks, outperforming conventional 2D RDH methods.

Conclusions:

  • The IRKT effectively addresses rounding errors in Krawtchouk transform applications.
  • The novel 3D RDH algorithm provides a secure and efficient solution for medical data in IoMT.
  • This approach enhances data security and integrity for massive medical data storage and transmission.