中国物理B ›› 2023, Vol. 32 ›› Issue (2): 20503-020503.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. 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
  • 收稿日期:2022-08-29 修回日期:2022-11-02 接受日期:2022-11-09 出版日期:2023-01-10 发布日期:2023-01-10
  • 通讯作者: Lin Teng E-mail:tenglin@dlmu.edu.cn
  • 基金资助:
    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).

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. 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
  • Received:2022-08-29 Revised:2022-11-02 Accepted:2022-11-09 Online:2023-01-10 Published:2023-01-10
  • Contact: Lin Teng E-mail:tenglin@dlmu.edu.cn
  • Supported by:
    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).

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摘要： 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.

关键词: chaotic image encryption, compressive sensing, meaningful cipher image, portable network graphics, image encryption algorithm

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.

Key words: chaotic image encryption, compressive sensing, meaningful cipher image, portable network graphics, image encryption algorithm

中图分类号:  (Control of chaos, applications of chaos)

  • 05.45.Gg
07.05.Pj (Image processing) 05.45.Jn (High-dimensional chaos)