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Research on Digital Image Copying Watermarking Algorithm Based on Deep Learning

机译:基于深度学习的数字图像复制水印算法研究

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With the rapid development of digital signal processing and computer network technology, the copyright protection of digital products is facing a very severe challenge. The digital watermarking technology mainly hides some digital information in the digital product to achieve the data copyright protection and the content authentication. In this paper, a copy-proof watermarking algorithm for color image based on deep learning is proposed. The YUV space of the color image is selected, and the DCT and binarization of the chrominance component are used to obtain the unique characteristic information of the image. Experimental results show that the proposed algorithm is robust to noise attack, JPEG compression, filtering and cropping attacks, and can resist copying attacks effectively.
机译:随着数字信号处理和计算机网络技术的飞速发展,数字产品的版权保护面临着非常严峻的挑战。数字水印技术主要是在数字产品中隐藏一些数字信息,以实现数据版权保护和内容认证。提出了一种基于深度学习的彩色图像防拷贝水印算法。选择彩色图像的YUV空间,对色度分量进行DCT变换和二值化,得到图像的唯一特征信息。实验结果表明,该算法对噪声攻击、JPEG压缩、滤波和裁剪攻击具有较强的鲁棒性,并能有效抵抗复制攻击。

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