Open AccessA Robust Watermarking Scheme based on Delaunay Image Reconstruction Robust to Affine Transformation
Author(s) -
Feng Liu,
Daofu Gong,
Wenbing Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1871/1/012048
Subject(s) - affine transformation , watermark , artificial intelligence , delaunay triangulation , robustness (evolution) , computer vision , digital watermarking , feature (linguistics) , embedding , transformation (genetics) , feature extraction , pattern recognition (psychology) , geometric transformation , pixel , mathematics , channel (broadcasting) , computer science , image (mathematics) , algorithm , computer network , biochemistry , philosophy , pure mathematics , gene , chemistry , linguistics
This paper proposes a sub-channel image reconstruction algorithm based on Delaunay triangle. First, according to the different sensitivity of the human eye to the three color channels, different channels are used to avoid the influence of watermark embedding on pixels around the feature points. Then, feature points should be selected on the selected channel to make them have sufficient robustness. At this time, the location of the feature points extracted on the corresponding channel can be used as the watermark embedding position. Finally, considering the influence of geometric attacks such as affine transformation, this paper proposes a reconstruction algorithm based on Delaunay triangle, which uses feature point information to reconstruct the image before the watermark extraction, and extract the watermark on the reconstructed image. The effect of watermark extraction has been improved.