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Adaptive visual cryptography scheme design based on QR codes.

Li-Na Zhang1,2, Chen-Yu Cui1, Xiao-Yu Zhang1

  • 1College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an 710054, China.

Mathematical Biosciences and Engineering : MBE
|January 19, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel QR code visual cryptography scheme to prevent distortion when recovering complex secret images. The improved method enhances security and image clarity, making it practical for complex data protection.

Keywords:
QR codeXOR operationgrayscale mappingvisual cryptography scheme

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Area of Science:

  • Computer Science
  • Information Security
  • Cryptography

Background:

  • Existing QR code visual encryption schemes often use grayscale averaging, leading to distortion in complex secret image recovery.
  • There is a need for robust and distortion-free visual cryptography methods utilizing QR codes.

Purpose of the Study:

  • To propose an improved QR code-based visual cryptography scheme.
  • To address and mitigate distortion issues in secret image recovery.
  • To enhance the security and practicality of QR code visual encryption.

Main Methods:

  • Developed a novel QR code-based visual cryptography scheme.
  • Implemented two adaptive schemes to improve secret image recovery.
  • Enhanced the QR code shared matrix generation algorithm.

Main Results:

  • Achieved distortion-free recovery of complex secret images.
  • Ensured uniform distribution of secret vectors.
  • Reduced space consumption and vulnerability to attacks.
  • Recovered images are clearer compared to existing methods.

Conclusions:

  • The proposed scheme offers superior security and practicality for complex secret images.
  • The adaptive schemes effectively resolve distortion problems in image recovery.
  • This method provides a clear and efficient solution for QR code visual cryptography.