量子优化的层次块编码,具有强大的嵌入,用于感知完整性和耐压缩的视觉数据保护
G Suresh1, J Arun Kumar2, Vivek Karthick Perumal3
1Department of Artificial Intelligence and Machine Learning, Panimalar Engineering College, Chennai, India. gsuresh.aiml@panimalar.ac.in.
Scientific reports
|February 3, 2026
概括
一个新的量子优化层次块编码 (QHCE) 模型提高了图像水标的稳定性和视觉保真性. 这种量子启发的方法增强了多媒体数据的安全性,防止未经授权的访问和操纵.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 量子计算是一种量子计算.
背景情况:
- 多媒体平台面临越来越多的威胁,如未经授权的访问和数据操纵.
- 经典的水印方法缺乏对压缩和对抗攻击的稳定性.
- 现有技术的低隐形性或高计算成本限制了实时应用.
研究的目的:
- 提出一种新的量子优化层次块编码 (QHCE) 模型,用于感知自适应和压缩敏感的图像水印.
- 为了提高数字图像水印的稳定性,不可察觉性和效率.
- 解决在敌对环境中传统水印技术的局限性.
主要方法:
- 使用基于的四树分区和基于突出性的区域选择进行图像分区.
- 转换域水标嵌入使用多层离散波纹转换 (DWT).
- 量子遗传算法 (QGA) 用于优化嵌入参数 (位置,频段,强度) 以平衡强度和视觉保真.
主要成果:
- 实现了高性能指标:平均PSNR为57.8dB,SSIM为0.997,0.00%的比特错误率 (BER) 和100%的提取精度在JPEG质量因子 (QF) ≥70.
- 与非优化基线相比,有效载荷能力增加了19%,运行时间减少了25%.
- 完整性验证使用SHA-256和哈明距离分析达到99.95%的准确性.
结论:
- QHCE模型为下一代视觉数据保护提供了一个可扩展,安全和高度稳健的解决方案.
- 将量子灵感优化与感知编码相结合,可以提高水标的弹性.
- 这种方法为量子安全的多媒体系统的未来研究提供了一个有希望的方向.
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