With the rapid development of Internet and cloud storage, data security sharing and copyright protection are becoming more and more important. In this paper, we introduce a robust image watermarking algorithm for copyright protection based on variational autoencoder networks. The proposed image watermarking embedding and extracting network consists of three parts: encoder subnetwork, decoder subnetwork, and detector subnetwork. In the training process, the encoder and decoder subnetworks learn a robust image representation model and further implement the embedding of 1-bit watermark image to the cover image. Meanwhile, the detector subnetwork learns to extract the 1-bit watermark image from the embedding image. Experimental results demonstrate that the watermarked images generated by the proposed algorithm have better visual effects and are more robust against geometric and noise attacks than traditional approaches in the transform domain.

中文翻译：

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使用循环变分自编码器的鲁棒图像水印方法

随着Internet和云存储的飞速发展，数据安全共享和版权保护变得越来越重要。在本文中，我们介绍了一种基于可变自动编码器网络的鲁棒图像水印算法，用于版权保护。所提出的图像水印嵌入和提取网络由三部分组成：编码器子网，解码器子网和检测器子网。在训练过程中，编码器和解码器子网学习鲁棒的图像表示模型，并进一步实现将1位水印图像嵌入到封面图像中。同时，检测器子网学习从嵌入图像中提取1位水印图像。