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Geometric Invariance in image watermarking

机译:图像水印中的几何不变性

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Surviving geometric attacks in image watermarking is considered to be of great importance. In this paper, the watermark is used in an authentication context. Two solutions are being proposed for such a problem. Both geometric and invariant moments are used in the proposed techniques. An invariant watermark is designed and tested against attacks performed by StirMark using the invariant moments. On the other hand, an image normalization technique is also proposed which creates a normalized environment for watermark embedding and detection. The proposed algorithms have the advantage of being robust, computationally efficient, and no overhead needs to be transmitted to the decoder side. The proposed techniques have proven to be highly robust to all geometric manipulations, filtering, compression and slight cropping which are performed as part of StirMark attacks as well as noise addition, both Gaussian and salt & pepper.
机译:在图像加水印中幸存的几何攻击非常重要。在本文中,水印用于身份验证上下文中。针对这种问题,提出了两种解决方案。所提出的技术中同时使用了几何矩和不变矩。设计了不变水印并针对使用不变矩的StirMark进行的攻击进行了测试。另一方面,还提出了一种图像归一化技术,该技术创建了用于水印嵌入和检测的归一化环境。所提出的算法具有鲁棒性,计算效率高的优点,并且不需要将开销传输到解码器侧。事实证明,所提出的技术对于所有作为StirMark攻击的一部分进行的几何处理,滤波,压缩和轻微裁剪以及高斯,盐和胡椒的噪声添加都具有很高的鲁棒性。

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