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Copyright protection scheme with InF and GFCM in digital library

机译:InF和GFCM在数字图书馆中的版权保护方案

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摘要

A novel digital image watermarking algorithm for copyright protection of digital products in digital library is proposed by using the generalized fuzzy c-means clustering (GFCM), Information fusion (InF), and discrete cosine transform (DCT). The presented approach can be applied to enhance robustness and security of copyright information in digital library. The original image blocks are classied into two classes based on several characteristic parameters with Human Visual System(HVS). One is suited for embedding, the other is not. The watermark is embedded in 2-DCT suited blocks of every communication channel. During detection process we apply information fusion technique to regard three channels as three detached sensors and carry out information fusion by communication channels performances. In the same time, for the good performance, the watermark is modulated into the fractional modulation array. The simulation results show that we can remarkably extract the hiding copyright information in digital library and can achieve good robustness with common signal distortion or geometric distortion and the quality of the embedded image is guaranteed.
机译:提出了一种利用广义模糊c均值聚类(GFCM),信息融合(InF)和离散余弦变换(DCT)的数字图书馆数字产品版权保护的数字图像水印算法。所提出的方法可以被应用来增强数字图书馆中版权信息的鲁棒性和安全性。基于人类视觉系统(HVS)的几个特征参数,原始图像块可分为两类。一种适合嵌入,另一种则不适合。水印嵌入在每个通信通道的2-DCT适用块中。在检测过程中,我们应用信息融合技术将三个通道视为三个分离的传感器,并根据通信通道的性能进行信息融合。同时,为了获得良好的性能,水印被调制为分数调制阵列。仿真结果表明,我们可以显着地提取数字图书馆中隐藏的版权信息,并且可以在常见信号失真或几何失真的情况下获得良好的鲁棒性,并且可以保证嵌入图像的质量。

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