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High-Payload and Secure Data Hiding for Medical Images in IoMT-Based eHealth Systems.

Yichen Wang1, Yijie Lin2, Ching-Chun Chang3

  • 1School of Management Science and Engineering, Shandong Technology and Business University, Yantai 264005, China.

Sensors (Basel, Switzerland)
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel data hiding technique for Absolute Moment Block Truncation Coding (AMBTC)-compressed medical images, enhancing efficiency for the Internet of Medical Things (IoMT). The method achieves high payload capacity while preserving image quality for secure medical data transmission.

Keywords:
Absolute Moment Block Truncation CodingInternet of Medical Thingsblock classificationdata hidingpuzzle matrix

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Area of Science:

  • Medical Imaging
  • Data Compression
  • Information Security

Background:

  • The Internet of Medical Things (IoMT) faces challenges in transmitting large medical images over constrained networks.
  • Efficient data management and secure transmission are crucial for IoMT applications.

Purpose of the Study:

  • To propose a high-payload data hiding method for Absolute Moment Block Truncation Coding (AMBTC)-compressed medical images.
  • To enhance the efficiency of medical image storage and transmission in IoMT environments.

Main Methods:

  • Classifying image blocks into flat, smooth, and complex types based on value differences.
  • Applying adaptive embedding and extraction strategies for each block type.
  • Integrating data hiding directly into the AMBTC compression framework.

Main Results:

  • Achieved an average data hiding efficiency of 59%.
  • Maintained an average Peak Signal-to-Noise Ratio (PSNR) of approximately 30 dB.
  • Preserved image textures and boundaries effectively through visual and structural evaluations.

Conclusions:

  • The proposed method offers a feasible approach for high-payload data hiding within AMBTC compression.
  • This technique improves efficiency for medical image storage and transmission in IoMT.
  • The method balances data security and image quality for practical IoMT applications.