一种新且高效的数字图像隐形图像技术,使用最不显著位替换技术
Shahid Rahman1, Jamal Uddin2, Hameed Hussain1
1Department of Computer Science, University of Buner, Swari, 19290, KP, Pakistan.
Scientific reports
|January 3, 2025
概括
本研究介绍了一种高效的图像隐形图像技术,使用最小显著位 (LSB) 替换与加密和矩阵操作相结合. 这种新方法提高了隐藏通信中的数据安全性和可靠性.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 数字图像处理 数字图像处理
背景情况:
- 隐藏数据隐藏在封面媒体中,基于图像的隐藏数据面临透明度,安全性和可靠性方面的挑战.
- 现有的图像隐形图像方法经常表现出可靠性问题,需要改进技术.
研究的目的:
- 提出一种高效可靠的基于图像的隐藏图像技术.
- 解决当前隐形图法方法的局限性,特别是关于可靠性和安全性的问题.
主要方法:
- 开发了一种新的算法,将最小显著位 (LSB) 替换与魔术矩阵,多级加密算法 (MLEA),秘密密钥 (SK) 和转换/翻转相结合.
- 采用了一套全面的质量评估指标 (QAM),包括PSNR,SSIM,NCC和MSE进行评估.
- 在165个不同尺寸和隐藏数据大小的RGB图像上测试了算法.
主要成果:
- 拟议的LSB替换方法证明了最小化的错误率和增强的嵌入可靠性.
- 实验结果证实了该技术在各种质量评估指标上的效率和有效性.
- 对比和安全分析显示,相对于现有的最先进的隐藏图法方法,有显著的改进.
结论:
- LSB替换,加密和矩阵操作的综合方法为安全的图像隐形图像提供了强大的解决方案.
- 与目前的方法相比,拟议的技术在安全性,可靠性和效率方面提供了更高的性能.
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