重采样-检测-基于网络的强大的图像水标识,防止缩放和切割
Hao-Lai Li1, Xu-Qing Zhang2, Zong-Hui Wang2
1EFORT Intelligent Equipment Co., Ltd., Shanghai 201600, China.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
本研究介绍了一种使用DWT-DCT转换的强大的数字水标方案. 该方法有效地保护多媒体隐私免受扩展和切割攻击,确保数据完整性.
科学领域:
- 数字图像处理是数字图像处理.
- 多媒体安全安全.
- 计算机视觉 计算机视觉 计算机视觉
背景情况:
- 数字水印对于多媒体隐私至关重要.
- 现有的方法很容易受到像缩放和切割这样的攻击.
- 对几何转换的坚固性仍然是一个挑战.
研究的目的:
- 提出一个新的数字水印方案.
- 为了增强对图像缩放和切割攻击的稳定性.
- 为了保持高的隐形性和性能.
主要方法:
- 在DWT-DCT复合变换系数中嵌入水印.
- 使用重新抽样检测网络来识别和纠正缩放因子.
- 在Y通道中使用模板水印用于切割检测.
主要成果:
- 拟议的方案证明了对各种图像处理操作和几何攻击的显著稳定性.
- 实现了对扩大攻击的有效检测和纠正.
- 切割位置的准确定位是由模板水标记启用.
结论:
- 基于DWT-DCT的水印方案提供了卓越的无感知性和稳定性.
- 再抽样检测网络和模板水标的整合提高了弹性.
- 这种方法为多媒体隐私保护提供了可靠的解决方案.
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