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A prediction error based reversible data hiding scheme in encrypted image using block marking and cover image

Shaiju Panchikkil1, V M Manikandan1

  • 1SRM University-AP, Andhra Pradesh, India.

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|June 26, 2023
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Summary

This study introduces a novel reversible data hiding (RDH) scheme for encrypted medical images. The method ensures high-quality image recovery, crucial for accurate telehealth diagnostics.

Keywords:
High quality DICOM imageMedical image transmissionPrediction error strategyReversible data hidingSnake scan

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Area of Science:

  • Digital communication
  • Medical imaging technology
  • Information security

Background:

  • Digitization is rapidly transforming communication and healthcare delivery.
  • Telehealth and e-health services have seen significant growth, particularly during the COVID-19 pandemic.
  • Secure and accurate transmission of medical images is critical for reliable diagnosis.

Purpose of the Study:

  • To propose a novel reversible data hiding (RDH) scheme for encrypted medical images.
  • To achieve high embedding capacity while ensuring the integrity and quality of the recovered medical image.
  • To enhance the security and efficiency of medical image transmission in digital healthcare systems.

Main Methods:

  • A Most Significant Bit (MSB) prediction error-based RDH scheme is developed for encrypted images.
  • A snake scan approach in dual modes (rightward and downward) is employed for optimal embedding rate selection.
  • Multiple MSBs are utilized for embedding encrypted Personal Health Record (PHR) data, leveraging prediction errors.

Main Results:

  • The proposed scheme achieves high-quality image recovery with a Peak Signal-to-Noise Ratio (PSNR) and a Structural Similarity Index (SSIM) of 1.
  • High embedding rates are demonstrated, exceeding 3 bits per pixel (bpp) for 16-bit DICOM images and 1 bpp for natural images.
  • Experimental results show superior performance compared to existing state-of-the-art RDH methods.

Conclusions:

  • The developed MSB prediction error-based RDH scheme offers a promising solution for secure and high-capacity medical image transmission.
  • The method ensures the integrity of medical images, vital for accurate remote diagnosis in telehealth.
  • This research contributes to advancing secure data hiding techniques in the evolving landscape of digital healthcare.