Picking watermarks from noise (PWFN): an improved robust watermarking model against intensive distortions

arXiv:2405.05170v1 Announce Type: cross
Abstract: Digital watermarking is the process of embedding secret information by altering images in a way that is undetectable to the human eye. To increase the robustness of the model, many deep learning-based watermarking methods use the encoder-decoder architecture by adding different noises to the noise layer. The decoder then extracts the watermarked information from the distorted image. However, this method can only resist weak noise attacks. To improve the robustness of the algorithm against stronger …

abstract architecture arxiv cs.cv cs.mm decoder deep learning digital digital watermarking eess.iv embedding encoder encoder-decoder human human eye images information noise process robust robustness secret type watermarking watermarks