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Visual Secure Image Encryption Scheme Based on Compressed Sensing and Regional Energy.

Mengna Shi1, Shiyu Guo1, Xiaomeng Song1

  • 1Electrical Engineering College, Heilongjiang University, Harbin 150080, China.

Entropy (Basel, Switzerland)
|June 2, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a secure image transmission method using compressed sensing (CS) and regional energy for visually secure image compression and encryption. The algorithm enhances network security by protecting both image content and appearance.

Keywords:
compressed sensingimage encryptionmulti-character chaotic systemregional energy

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Area of Science:

  • Computer Science
  • Information Security
  • Digital Image Processing

Background:

  • Network security for digital image transmission faces challenges in protecting both content and visual appearance.
  • Existing methods may compromise image quality or lack robust security features.

Purpose of the Study:

  • To propose a visually secure image compression and encryption scheme.
  • To enhance network security for digital image transmission.

Main Methods:

  • Combining compressed sensing (CS) with regional energy for image compression and encryption.
  • Utilizing zigzag confusion and hour hand printing (HHP) scrambling for pixel irrelevance.
  • Employing a hyperchaotic multi-character system (MCS) for measurement matrix and pixel control.

Main Results:

  • A visually secure cipher image is generated by embedding a compressed and encrypted secret image into a carrier image.
  • Regional energy embedding minimizes damage to the carrier image's visual quality.
  • The algorithm demonstrates effectiveness, security, and robustness through simulations and analyses.

Conclusions:

  • The proposed scheme effectively addresses dual security concerns in image transmission.
  • The integration of CS, regional energy, and hyperchaotic systems offers a robust solution for secure visual communication.
  • The method enhances security through pixel irrelevance and differential embedding strategies.