Scholarlink

<p>With the explosive growth of the digital content industry and the increasingly urgent need for copyright protection, digital watermarking technology has become a core technical means for safeguarding related rights. This paper describes a novel multi-domain digital watermarking scheme based on Arnold-Logistic encryption and chaotic evolutionary optimization algorithm. The breakthrough of this method lies in constructing a multi-domain embedding framework by integrating the non-subsampled Contourlet transform (NSCT), discrete Hankel transform (DHT), and Hadamard transform (HT) to achieve maximum energy concentration, employing a dual-chaos encryption mechanism of scrambling followed by diffusion to enhance security, and utilizing a chaotic evolutionary optimization algorithm to adaptively determine the optimal quantization step size. The experimental results demonstrate that the watermarked images achieve an average Peak Signal-to-Noise Ratio (PSNR) greater than 40&#xa0;dB and an average Structural Similarity Index Measure (SSIM) higher than 0.97, which indicates that the proposed method has good imperceptibility. Meanwhile, the extracted watermark maintains the NC generally above 0.97 and the Bit Error Rate (BER) below 0.05, indicating excellent robustness. Additionally, the encryption system boasts a key space as large as 2<sup>306</sup>, effectively resisting brute-force and statistical analysis attacks.</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

Multi-domain Digital Watermarking Based on Arnold-Logistic Encryption and Chaotic Evolutionary Optimization Algorithm

  • 期刊论文

  • 发表日期：

    2026年7月8日

查看全文
  • Tianfu Wang,
  • Ziyang Liu,
  • Xinchao Song,
  • Guoheng Wang,
  • Bangyi Wei,
  • Qingtang Su

摘要

With the explosive growth of the digital content industry and the increasingly urgent need for copyright protection, digital watermarking technology has become a core technical means for safeguarding related rights. This paper describes a novel multi-domain digital watermarking scheme based on Arnold-Logistic encryption and chaotic evolutionary optimization algorithm. The breakthrough of this method lies in constructing a multi-domain embedding framework by integrating the non-subsampled Contourlet transform (NSCT), discrete Hankel transform (DHT), and Hadamard transform (HT) to achieve maximum energy concentration, employing a dual-chaos encryption mechanism of scrambling followed by diffusion to enhance security, and utilizing a chaotic evolutionary optimization algorithm to adaptively determine the optimal quantization step size. The experimental results demonstrate that the watermarked images achieve an average Peak Signal-to-Noise Ratio (PSNR) greater than 40 dB and an average Structural Similarity Index Measure (SSIM) higher than 0.97, which indicates that the proposed method has good imperceptibility. Meanwhile, the extracted watermark maintains the NC generally above 0.97 and the Bit Error Rate (BER) below 0.05, indicating excellent robustness. Additionally, the encryption system boasts a key space as large as 2306, effectively resisting brute-force and statistical analysis attacks.