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Related Experiment Video

Updated: Aug 13, 2025

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
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Random Matrix Transformation and Its Application in Image Hiding.

Jijun Wang1,2,3, Fun Soo Tan1, Yi Yuan1

  • 1Faculty of Computing and Informatics, Universiti Malaysia Sabah (UMS), Kota Kinabalu 88400, Malaysia.

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|January 21, 2023
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This study introduces novel image steganography techniques using random matrices for enhanced information security. These methods improve image quality and efficiency, offering adaptive large-capacity solutions for secure data hiding.

Keywords:
hybrid transmissionimage encodingimage hidingrandom matrix

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Area of Science:

  • Information Security
  • Digital Image Processing
  • Steganography

Background:

  • Modern information security is critical in the big data era.
  • Image steganography is a key technology for secure information hiding.
  • Existing methods require improvement in quality and efficiency.

Purpose of the Study:

  • To develop innovative image steganography schemes using random matrices.
  • To enhance information security and steganography image quality.
  • To propose adaptive schemes for large-capacity information hiding.

Main Methods:

  • Mathematical modeling and kernel function theory.
  • Construction of random matrices for information hiding.
  • Development of an adaptive random matrix expansion method.

Main Results:

  • A steganography scheme achieving 49.95 dB PSNR and 1.5 bits per pixel.
  • Improved steganography efficiency by reducing the modification range.
  • Adaptive scheme demonstrated superior capacity and image quality.

Conclusions:

  • Random matrix-based steganography offers improved security and efficiency.
  • The adaptive scheme effectively meets diverse steganography capacity requirements.
  • These methods represent a significant advancement in secure image steganography.