LKAW: a robust watermarking method based on large kernel convolution and adaptive weight assignment

• Main Authors: Zhang, Xiaorui, Jiang, Rui, Sun, Wei, Song, Aiguo, Wei, Xindong, Meng, Ruohan
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Robust Watermarking; Large Kernel Convolution
• Online Access: https://hdl.handle.net/10356/169954
• Institution: Nanyang Technological University

Robust watermarking requires finding invariant features under multiple attacks to ensure correct extraction. Deep learning has extremely powerful in extracting features, and watermarking algorithms based on deep learning have attracted widespread attention. Most existing methods use 3 × 3 small kern...