一个强大的脆弱的水印方法用于图像改检测和恢复利用混合变换
S Prasanth Vaidya1, Rajesh N V P S Kandala2, P V S S R Chandra Mouli3
1Department of Computer Science, BVRIT HYDERABAD College of Engineering for Women, Hyderabad, Telangana, India.
Scientific reports
|May 21, 2025
概括
本研究介绍了一种新的脆弱水印技术,使用舒尔分解和离散波束变换 (DWT) 来进行强大的图像改检测和恢复,增强数字图像安全性.
科学领域:
- 数字图像处理 数字图像处理
- 信息安全 信息安全
- 计算机视觉 计算机视觉
背景情况:
- 数字图像完整性对于医学成像和法医等应用至关重要.
- 现有的水印技术往往缺乏对复杂攻击的稳定性,或者需要原始图像进行提取.
- 改检测和恢复对于确保对数字视觉数据的信任至关重要.
研究的目的:
- 开发一种新的脆弱水印技术,用于检测和恢复图像改.
- 在传输过程中增强数字图像的安全性和完整性.
- 与现有方法相比,提高对各种图像攻击的稳定性.
主要方法:
- 在水印嵌入中集成Schur分解以获得数值稳定性和离散波量变换 (DWT) 以进行多分辨率分析.
- 开发了一种半盲水印提取算法,利用秘密密钥,消除了对原始图像的需求.
- 实施图像恢复机制,在检测到扭曲后恢复被改的区域.
主要成果:
- 与现有技术相比,拟议的水印方案显示出对攻击的优越稳定性.
- 使用结构相似性 (SSIM),峰值信号噪声比率 (PSNR) 和规范交叉相关性 (NCC) 的定量评估证实了该方法的有效性.
- 成功检测和恢复被改的图像区域.
结论:
- 这种新的脆弱水印技术有效地确保了数字图像的完整性.
- 该方法为医疗成像,法医分析和版权保护等敏感应用提供了增强的安全性.
- 舒尔分解和DWT的整合为图像改检测和恢复提供了强大而可靠的解决方案.
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