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Cropping, Rotation and Scaling Invariant LBX Interleaved Voice-in-Image Watermarking

机译:裁剪,旋转和缩放不变LBX交错的图像图像内水印

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The rapid development of digital media and communication network urgently has highlighted the need of data certification technology to protect IPR (Intellectual property rights). This paper proposed a new watermarking method for embedding the owner's voice signal using our LBX (Linear Bit-eXpansion) interleaving. This method uses a voice signal as a watermark to be embedded, which makes it quite useful in claiming ownership, and has the advantage of restoring a voice signal that has been modified and removed by image removing attacks by applying our LBX interleaving. Three basic stages of this watermarking include: 1) Encode the analogue owner's voice signal by PCM and create new digital voice watermark; 2) Interleave a voice watermark by LBX; and 3) Embed the interleaved voice watermark in the low frequency band on DHWT (Discrete Haar Wavelet Transform) of the blue and red channels of the color image. Therefore the resulting model can be used to maximize the robustness against attacks for removing a part of image such as cropping, rotation and scaling, because de-interleaver can correct the modified watermark information.
机译:数字媒体和通信网络的快速发展迫切地突出了数据认证技术的需求,以保护知识产权(知识产权)。本文提出了一种新的水印方法,用于使用我们的LBX(线性比特扩展)交织嵌入所有者的语音信号。该方法使用语音信号作为嵌入的水印,这使得它在声称所有权中非常有用,并且具有通过应用我们的LBX交织来恢复已被修改和删除的语音信号的优点。这种水印的三个基本阶段包括:1)通过PCM编码模拟所有者的语音信号并创建新的数字语音水印; 2)通过LBX交织语音水印; 3)在彩色图像的蓝色和红色通道的DHWT(离散HAAR小波变换)上嵌入在低频带中的交错语音水印。因此,所得到的模型可用于最大化抗攻击的稳健性,以消除诸如裁剪,旋转和缩放的图像的一部分,因为去交织器可以校正修改的水印信息。

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