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