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VQ-based algorithms extended to non-embedded watermarking for multimedia ownership prevention systems - Springer

机译:基于VQ的算法已扩展到多媒体所有权预防系统的非嵌入式水印-Springer

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This paper presents some novel watermarking approaches that are based on vector quantization and provide ownership protection in gray-level images. Nowadays, information sharing in P2P architecture is immensely involved with knowledge-learning on the Internet. Copyright protection is therefore considered in the studies of P2P systems. The proposed approaches combine images, watermarks, and codebooks together by generating key streams to claim ownership and guarantee the integrity of images. Non-embedded approaches that generate claimed key streams have the benefit of maintaining the authorized image in its original state without any modifications. Compared to Lin et al.’s method, our approaches save both running time and space for storage. Moreover, in order to provide broader applications of image protection, robust watermark and fragile watermark strategies are proposed. The experimental results show that these strategies are effective.
机译:本文提出了一些新颖的基于矢量量化的水印方法,并为灰度图像提供了所有权保护。如今,P2P体系结构中的信息共享与Internet上的知识学习密切相关。因此,在P2P系统研究中考虑了版权保护。所提出的方法通过生成密钥流来声明所有权并保证图像的完整性,从而将图像,水印和密码本组合在一起。生成要求保护的密钥流的非嵌入式方法的好处是无需经过任何修改即可将授权映像保持在其原始状态。与Lin等人的方法相比,我们的方法既节省了运行时间,又节省了存储空间。此外,为了提供更广泛的图像保护应用,提出了鲁棒的水印和脆弱的水印策略。实验结果表明,这些策略是有效的。

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