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Half Difference Expansion Based Reversible Data Hiding Scheme for Medical Image Forensics.

Vazhora Malayil Manikandan1, Nelapati Lava Prasad2, Masilamani Vedhanayagam1

  • 1Department of Computer Engineering, Indian Institute of Information Technology Design and Manufacturing Kancheepuram, Chennai-600127, Tamilnadu, India.

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Summary

This study introduces a novel reversible watermarking technique for medical image forensics, enhancing image quality and data embedding rates. The new method improves medical image authentication and tamper detection capabilities.

Keywords:
EPRMedical image forensicshalf difference expansionpixelsreversible watermarkingtamper detection.

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Area of Science:

  • Medical Imaging
  • Digital Forensics
  • Information Security

Background:

  • Medical image authentication is crucial for establishing ownership and data integrity.
  • Existing reversible watermarking schemes often compromise visual quality and embedding rates.

Purpose of the Study:

  • To propose a novel reversible watermarking scheme for medical image forensics.
  • To improve visual quality and embedding rate compared to conventional methods.
  • To introduce a tamper detection and localization mechanism.

Main Methods:

  • A new half difference expansion technique is employed for reversible watermarking.
  • The scheme modifies traditional difference expansion to reduce overflow/underflow probability.
  • A tamper detection and localization process is developed.

Main Results:

  • The proposed watermarking scheme demonstrates superior visual quality of watermarked images.
  • Experimental results show improved embedding rates compared to existing methods.
  • The scheme effectively detects and localizes tampered regions.

Conclusions:

  • The novel half difference expansion technique significantly enhances medical image authentication.
  • The proposed scheme offers better visual quality and embedding efficiency.
  • Future work should address overheads related to location maps and parity information.