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Information hiding technique with double phase encoding.

Sherif Kishk1, Bahram Javidi

  • 1Department of Electrical and Computer Engineering, University of Connecticut, Storrs 06269-2157, USA.

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This study introduces a novel information hiding technique using double phase encoding. The method demonstrates robust hidden image recovery even with distortions and removal attempts.

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Area of Science:

  • Computer Science
  • Information Security
  • Digital Image Processing

Background:

  • Information hiding is crucial for secure data transmission.
  • Existing methods face challenges with distortion and security.
  • Double phase encoding offers a potential solution for robust data embedding.

Purpose of the Study:

  • To propose and analyze a novel information hiding technique using double phase encoding.
  • To evaluate the system's performance and robustness against various distortions.
  • To assess the impact of host image interference and pixel occlusion on hidden data recovery.

Main Methods:

  • A weighted double phase-encoded hidden image is added to a host image, creating a transmitted image.
  • Analytical performance evaluation using statistical properties of double phase encoding.
  • Peak Signal-to-Noise Ratio (PSNR) is used to measure image quality degradation.
  • Computer simulations are conducted to test system performance under distortions and removal attempts.

Main Results:

  • The proposed double phase encoding method allows for analytical performance assessment.
  • The system demonstrates the ability to recover hidden images even with host image interference and pixel occlusion.
  • Simulations confirm the robustness of the hidden image against removal trials.
  • The impact of using only the real part of the transmitted image for recovery is analyzed.

Conclusions:

  • The proposed double phase encoding technique provides a robust method for information hiding.
  • The system exhibits resilience to common distortions encountered in digital image transmission.
  • This technique offers a promising approach for secure and reliable data embedding in images.