Abstract

The network security transmission of digital images needs to solve the dual security problems of content and appearance. In this paper, a visually secure image compression and encryption scheme is proposed by combining compressed sensing (CS) and regional energy. The plain image is compressed and encrypted into a secret image by CS and zigzag confusion. Then, according to the regional energy, the secret image is embedded into a carrier image to obtain the final visual secure cipher image. A method of hour hand printing (HHP) scrambling is proposed to increase the pixel irrelevance. Regional energy embedding reduce the damage to the visual quality of carrier image, and the different embedding positions between images greatly enhances the security of the encryption algorithm. Furthermore, the hyperchaotic multi-character system (MCS) is utilized to construct measurement matrix and control pixels. Simulation results and security analyses demonstrate the effectiveness, security and robustness of the propose algorithm.

Highlights

  • Image Encryption Scheme Based onWith the rapid developments of Internet and computer technology, digital network communication technology is widely used in various fields of society

  • We present a method of hour hand printing (HHP) scrambling, and a new image visual security encryption algorithm based on Compressed sensing (CS) and regional energy is introduced

  • The cipher image in appearance has the same quality effect as the carrier image shown in Figure 5(c1–c4), which hides the presence of the secret image when transmitted for storage in the Internet and increases the security of the encryption algorithm

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Summary

Introduction

With the rapid developments of Internet and computer technology, digital network communication technology is widely used in various fields of society. Proposed a new method of image encryption based on matrix half-tensor product theory, which used chaotic sequence scrambling and half-tensor product diffusion to give more forms to the encryption scheme. Hua et al [21] proposed a chaotic magic transform based on 2D-SLMM to scramble image pixel positions, which reduced the time complexity and the compound chaotic system improved algorithmic security. We present a method of hour hand printing (HHP) scrambling, and a new image visual security encryption algorithm based on CS and regional energy is introduced. The plain image is compressed and encrypted using compressed sensing technology and zigzag obfuscation, and the noise-like secret image is generated by diffusion and HHP scrambling operation.

Compressed Sensing
Multi-Character Chaotic System
Zigzag
Hour Hand Printing Scrambling and Embedding Strategy Based on Regional Energy
Hhp Scrambling
Embedding Strategy Based on Regional Energy
Obtaining Initial Values of Multi-Character Chaotic Systems
Construction and Optimization of Measurement Matrix
Visual Security Image Encryption Algorithm
Compressing and Encrypting Plain Image into a Secret Image
Embedding the Secret Image into Carrier Image
Decryption Algorithm
Extract Secret Images from Visually Secure Cipher Images
Recover the Plain Image from the Secret Image
Simulation Results
Key Space Analysis
Key Sensitivity Analysis
Correlation Analysis
Histogram Analysis
Information Entropy
Known Plaintext Attack and Chosen Plaintext Attack
Robustness
Noise Attack
Data Cropping Attacks Analysis
Compression Capability Analysis
Complexity
6.10. Time Efficiency Analysis
Conclusions
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