在各种噪声条件下对图像稳定图形进行混合整数波形变换和单数值分解的分析
Manikandan Chinnusami1, Dyutisri Kolli2, S Shreela1
1School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India.
Scientific reports
|August 27, 2025
概括
这项研究引入了一种用于安全图像隐形的新型混合方法,它结合了整数波形转换和单数值分解. 这种技术提供了很高的隐形性和对噪声的强度,确保了图像传输的安全性.
科学领域:
- 计算机科学
- 信息安全
- 数字图像处理
背景情况:
- 隐藏图对于安全的数据传输至关重要.
- 现有的方法往往难以对抗噪声和保持无感知度.
- 需要先进的技术来安全地嵌入图像中的信息.
研究的目的:
- 开发使用整数波形变换 (IWT) 和奇数值分解 (SVD) 的混合石法.
- 在封面图像中增强隐藏图像的隐形性和强度.
- 提供一个易于使用的平台,用于在各种条件下评估石化表现.
主要方法:
- 一种结合整数波形变换 (IWT) 和奇数值分解 (SVD) 的混合方法.
- 开发一个定制的图形用户界面 (GUI) 用于交互性性能评估.
- 对各种类型的噪声 (高斯式,斑点,盐和胡) 进行测试.
主要成果:
- 通过9.6698的平均平方误差 (MSE) 实现了高无感知度.
- 通过0.7205的比特错误率 (BER) 证明了稳定性.
- 高结构相似度指数 (SSIM) 和接近1的规范交叉相关性 (NCC),峰值信号与噪声比 (PSNR) 为29.5665dB.
结论:
- 拟议的混合方法在强度和难以察觉性方面超越了当前的技术.
- 这种技术适用于安全的图像传输,
- 开发的平台可以促进可重复的石化研究和未来的进步.
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