Digital watermark embeds informa-
tion bits into digital cover such as images and
videos to prove the creator’s ownership of his
work. In this paper, we propose a robust image
watermark algorithm based on a generative
adversarial network. This model includes two
modules, generator and adversary. Generator
is mainly used to generate images embedded
with watermark, and decode the image dam-
aged by noise to obtain the watermark. Adver-
sary is used to discriminate whether the image
is embedded with watermark and damage the
image by noise. Based on the model Hidden
(hiding data with deep networks), we add a
high-pass filter in front of the discriminator,
making the watermark tend to be embedded in
the mid-frequency region of the image. Since
the human visual system pays more attention
to the central area of the image, we give a
higher weight to the image center region, and
a lower weight to the edge region when calcu-
lating the loss between cover and embedded
image. The watermarked image obtained by
this scheme has a better visual performance.
Experimental results show that the proposed
architecture is more robust against noise
interference compared with the state-of-art
schemes.