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Updated: May 1, 2026

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基于计算机生成全息图的文本信息安全保护方法.

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    此摘要是机器生成的。

    这项研究引入了一种新的点采样计算机生成全息图 (CGH) 方法,使用光线追踪嵌入文本信息. 该技术有效地将数据隐藏在CGH中,确保高保真度和不可察觉性.

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    科学领域:

    • 光学和光子学 在光学和光子学.
    • 计算机图形 计算机图形
    • 信息安全 信息安全

    背景情况:

    • 由于更快的光线追踪,计算机生成的全息图 (CGH) 越来越复杂.
    • 越来越多的CGH用于隐藏信息的应用缺乏全面的研究.
    • 需要强大的方法来嵌入和保护CGH中的信息.

    研究的目的:

    • 提出和评估一个点抽样CGH方法,以安全地隐藏信息.
    • 评估嵌入深度编码文本信息的有效性.
    • 分析建议方法的信息密度和不可察觉性.

    主要方法:

    • 利用光线追踪来快速采样各种深度的文本信息.
    • 采用离散等号变换 (DCT) 来嵌入深度编码文本到载体图像中.
    • 使用峰值信号对噪声比率 (PSNR) 评估图像质量.

    主要成果:

    • 在原始和隐藏图像之间实现了29.56dB的PSNR,表明数据完整性良好.
    • 在原始和嵌入式载体图像之间实现了51.66dB的PSNR,确保视觉不可感知.
    • 在200x200分辨率的计算全息图中确定最大信息密度.

    结论:

    • 拟议的点抽样CGH方法有效地隐藏了高保真度的信息.
    • 该方法为生成的CGH提供了强大的保护,使嵌入式数据难以检测.
    • 在计算全息图中确定了最大信息密度的最佳分辨率.