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Dynamic Information-Hiding Method with High Capacity Based on Image Interpolating and Bit Flipping.

Cheng-Ta Huang1,2, Cheng-Yi Lin2, Chi-Yao Weng3

  • 1Department of Information Management, Yuan Ze University, Taoyuan 32003, Taiwan.

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|May 27, 2023
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Summary
This summary is machine-generated.

This study introduces a novel data-hiding technique, Neighbor Mean Interpolation by Neighboring Pixels (NMINP), for enhanced image security. NMINP offers superior hiding capacity and image quality compared to existing methods without needing a location map.

Keywords:
flipped datahigh capacityneighbor mean interpolation (NMI)ones’ complement

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Area of Science:

  • Computer Science
  • Information Security
  • Image Processing

Background:

  • Rapid information exchange increases information security risks.
  • Data hiding is crucial for privacy protection.
  • Image interpolation is a key technique in data hiding.

Purpose of the Study:

  • To propose a novel data-hiding method using image interpolation.
  • To enhance hiding capacity and maintain image quality.
  • To avoid the need for a location map.

Main Methods:

  • Developed Neighbor Mean Interpolation by Neighboring Pixels (NMINP).
  • Embedded secret data by limiting bits to reduce distortion.
  • Utilized ones' complement format for flipped secret data.

Main Results:

  • NMINP demonstrated a higher hiding capacity than other methods.
  • NMINP achieved a higher peak signal-to-noise ratio (PSNR).
  • Hiding capacity improved by over 20%, and PSNR by 8%.

Conclusions:

  • NMINP is an effective data-hiding technique.
  • The method offers improved performance in hiding capacity and image fidelity.
  • NMINP provides a robust solution for secure image data embedding.