Aug. 10, 2023, 1:10 a.m. | Xin Zhong, Arjon Das, Fahad Alrasheedi, Abdullah Tanvir

cs.CR updates on arXiv.org arxiv.org

The act of secretly embedding and extracting a watermark on a cover image to
protect it is known as image watermarking. In recent years, deep learning-based
image watermarking techniques have been emerging one after another. To study
the state-of-the-art, this survey categorizes cutting-edge deep learning-based
image watermarking techniques into Embedder-Extractor Joint Training, Deep
Networks as a Feature Transformation, and Hybrid schemes. Research directions
in each category are also analyzed and summarized. Additionally, potential
future research directions are discussed to envision …

act art cutting deep learning edge emerging image protect state study survey techniques watermarking

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