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Chin. Phys. B, 2023, Vol. 32(2): 020503    DOI: 10.1088/1674-1056/aca149
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Lossless embedding: A visually meaningful image encryption algorithm based on hyperchaos and compressive sensing

Xing-Yuan Wang(王兴元)1,2, Xiao-Li Wang(王哓丽)1, Lin Teng(滕琳)1,†, Dong-Hua Jiang(蒋东华)3, and Yongjin Xian(咸永锦)1,4
1 School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;
2 Guangxi Key Laboratory of Multi-source Information Mining&Security, Guangxi Normal University, Guilin 541004, China;
3 School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 511400, China;
4 School of Cyber Security, Qilu University of Technology(Shandong Academy of Sciences), Jinan 250353, China
Abstract  A novel visually meaningful image encryption algorithm is proposed based on a hyperchaotic system and compressive sensing (CS), which aims to improve the visual security of steganographic image and decrypted quality. First, a dynamic spiral block scrambling is designed to encrypt the sparse matrix generated by performing discrete wavelet transform (DWT) on the plain image. Then, the encrypted image is compressed and quantified to obtain the noise-like cipher image. Then the cipher image is embedded into the alpha channel of the carrier image in portable network graphics (PNG) format to generate the visually meaningful steganographic image. In our scheme, the hyperchaotic Lorenz system controlled by the hash value of plain image is utilized to construct the scrambling matrix, the measurement matrix and the embedding matrix to achieve higher security. In addition, compared with other existing encryption algorithms, the proposed PNG-based embedding method can blindly extract the cipher image, thus effectively reducing the transmission cost and storage space. Finally, the experimental results indicate that the proposed encryption algorithm has very high visual security.
Keywords:  chaotic image encryption      compressive sensing      meaningful cipher image      portable network graphics      image encryption algorithm  
Received:  29 August 2022      Revised:  02 November 2022      Accepted manuscript online:  09 November 2022
PACS:  05.45.Gg (Control of chaos, applications of chaos)  
  07.05.Pj (Image processing)  
  05.45.Jn (High-dimensional chaos)  
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61672124), the Password Theory Project of the 13th Five-Year Plan National Cryptography Development Fund (Grant No. MMJJ20170203), Liaoning Province Science and Technology Innovation Leading Talents Program Project (Grant No. XLYC1802013), Key R&D Projects of Liaoning Province (Grant No. 2019020105-JH2/103), Jinan City ‘20 Universities’ Funding Projects Introducing Innovation Team Program (Grant No. 2019GXRC031), and Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security (Grant No. MIMS20-M-02).
Corresponding Authors:  Lin Teng     E-mail:

Cite this article: 

Xing-Yuan Wang(王兴元), Xiao-Li Wang(王哓丽), Lin Teng(滕琳), Dong-Hua Jiang(蒋东华), and Yongjin Xian(咸永锦) Lossless embedding: A visually meaningful image encryption algorithm based on hyperchaos and compressive sensing 2023 Chin. Phys. B 32 020503

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