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Content-Based Synchronization Using the Local Invariant Feature for Robust Watermarking

机译:基于内容的同步,使用本地不变功能用于强大的水印

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This paper addresses the problem of content-based synchronization for robust watermarking. Synchronization is a process of extracting the location to embed and detect the signature, copyright information, so that it is crucial for the robustness of the watermarking system. In this paper, we will review representative content-based approaches and propose a new synchronization method based on the scale invariant feature transform. In content-based synchronization approaches, it is important to extract robust features even with image distortions and we suspect that the consideration of local image characteristics will be helpful. The scale invariant feature transform regards these characteristics and is invariant to noise, spatial filtering, geometric distortions, and illumination changes of the image. Through experiments, we will compare the proposed method with representative content-based approaches and show the appropriateness for robust watermarking.
机译:本文解决了基于内容的鲁棒水印的同步问题。同步是提取要嵌入和检测签名的位置,版权信息的过程,使其对水印系统的鲁棒性至关重要。在本文中,我们将审查基于代表的基于内容的方法,并提出了一种基于Scale Invariant Feature Transform的新同步方法。在基于内容的同步方法中,即使使用图像扭曲也很重要,并且我们怀疑局部图像特征的考虑将有所帮助。规模不变特征转换了这些特征,并且不变于噪声,空间过滤,几何失真和图像的照明变化。通过实验,我们将比较基于代表性内容的方法的提议方法,并显示了鲁棒水印的适当性。

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