使用IWT,SVD和混沌模型进行安全和灵活的图像水印,以获得稳定性和不可察觉性
Wafa Hamdan Alshoura1, Moatsum Alawida2
1Department of Computer Sciences, Abu Dhabi University, Abu Dhabi, 59911, United Arab Emirates.
Scientific reports
|February 28, 2025
概括
本研究介绍了一种新的图像水印技术,它结合了整数波形变换 (IWT),奇点值分解 (SVD) 和混乱模型,以提高安全性和稳定性. 这种新方法有效地克服了基于SVD的传统水印的局限性,提供了更好的容量和不可感知性.
科学领域:
- 数字图像处理 数字图像处理
- 密码学 密码学 密码学
- 信息安全 信息安全
背景情况:
- 单值分解 (SVD) 在图像水印中被广泛使用,以平衡水印需求.
- 基于SVD的传统方法面临诸如假阳性,容量限制和安全漏洞等局限性.
- 现有的方法难以同时实现最佳的稳定性,不可察觉性和安全性.
研究的目的:
- 开发一种先进的图像水印方案,克服基于SVD的方法的局限性.
- 为了提高数字水印的安全性,稳定性和不可察觉性.
- 为所有权保护和版权管理提供安全有效的解决方案.
主要方法:
- 一种混合方法,结合整数波形变换 (IWT),单数值分解 (SVD) 和混乱模型.
- 使用通过秘密密钥生成的混乱变量进行嵌入,提取,加密和所有权保护.
- 采用IWT进行图像转换和SVD嵌入高频水标子频段到主机图像单一值使用混乱的多重缩放因子 (MSF) 矩阵.
主要成果:
- 由于对秘密密钥的敏感性,拟议的方案显示出对虚假正问题 (FPP) 攻击的高度稳定性.
- 在稳固性,不可察觉性和安全性之间实现了有利的平衡,优于现有的方法.
- 成功嵌入具有高灵活性和低扭曲的水印,满足实际应用要求.
结论:
- 基于IWT-SVD-chaos的新型水印方案比传统方法有了显著的改进.
- 混沌模型和秘密密钥的集成增强了安全性,并防止未经授权的访问.
- 该方案适用于需要高安全性,容量和不可察觉性的实际盲目水印应用.
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