基于混合低级方程弗兰克林时刻的音乐乐谱版权保护
Qizheng Huang1, Jiayi Zhu2, Yuanjie Xian2
1Shanghai Jincai South Seconday School, Shanghai, China.
PloS one
|August 25, 2025
概括
这项研究引入了一种新的零水印算法,用于音乐乐谱图像,增强版权保护. 拟议的方法使用混合低级时刻,提高了数字音乐行业的稳定性和形象完整性.
科学领域:
- 数字图像处理
- 版权法
- 信息安全
背景情况:
- 数字音乐产业的发展需要对音乐乐谱进行强有力的版权保护.
- 现有的基于直角时刻的零水标算法在平衡稳定性和可辨别性方面面临挑战.
- 音乐版权是有价值的无形资产,需要有效的保护方法.
研究的目的:
- 设计一个有效的,无损的版权保护方法,
- 解决当前零水标算法中的强度-可辨别性权衡问题.
- 提出一种新的混合低序时刻方法,使用四次数类型的分数序时刻 (QTFM).
主要方法:
- 开发音乐乐谱图像的零水印算法.
- 采用基于四次数类型的分数级时刻 (QTFM) 的混合低级时刻.
- 使用像SSIM这样的图像分析指标对强度和性能进行评估.
主要成果:
- 基于QTFM的拟议混合低级时刻方法显示出卓越的稳定性.
- 在彩色图像中有效地平衡全球信息和纹理细节.
- 在这种混合时刻方法中,与其他QTFM相比,富兰克林时刻获得了更高的SSIM值.
结论:
- 基于QTFM的新混合低序时刻方法为数字音乐乐谱提供了增强的版权保护.
- 这种方法在稳定性和可区分性之间提供了比现有方法更好的平衡.
- 这些发现有助于在快速发展的音乐行业中保护数字资产.
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