Scholarlink

<p>To improve the diversity and security of image encryption, a novel Dynamic Cross-Nonlinear Coupled Mapping Lattice (DCNCML) for spatiotemporal chaos is proposed in this paper. The DCNCML system provides a better key stream and achieves a wider chaotic state. Specifically, the Kolmogorov-Sinai Entropy Breadth (KEB) increases from 4.01% to 74.69%, and the Kolmogorov-Sinai Entropy Density (KED) rises from 0.1108 to 0.2185. In the encryption algorithm, a Fractal Scrambling Matrix (FSM) with self-similarity is proposed. The encryption algorithm first separates the facial regions by face recognition. Finally, FSM is utilized for synchronous bidirectional diffusion to encrypt the facial region. Experimental results demonstrate that the algorithm exhibits excellent performance and efficiency.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Facial image encryption based on spatiotemporal chaos in nonlinear coupling with dynamic coefficients and fractal scrambling matrix

  • 期刊论文

  • 发表日期：

    2025年7月1日

查看全文
  • Jingjing Yang,
  • Wei Zhang,
  • Hai Yu,
  • Zhiliang Zhu

摘要

To improve the diversity and security of image encryption, a novel Dynamic Cross-Nonlinear Coupled Mapping Lattice (DCNCML) for spatiotemporal chaos is proposed in this paper. The DCNCML system provides a better key stream and achieves a wider chaotic state. Specifically, the Kolmogorov-Sinai Entropy Breadth (KEB) increases from 4.01% to 74.69%, and the Kolmogorov-Sinai Entropy Density (KED) rises from 0.1108 to 0.2185. In the encryption algorithm, a Fractal Scrambling Matrix (FSM) with self-similarity is proposed. The encryption algorithm first separates the facial regions by face recognition. Finally, FSM is utilized for synchronous bidirectional diffusion to encrypt the facial region. Experimental results demonstrate that the algorithm exhibits excellent performance and efficiency.