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An Adaptive Visible Watermark Embedding Method based on Region Selection
Author(s) -
Wenfa Qi,
Yuxin Liu,
Sirui Guo,
Xiang Wang,
Zongming Guo
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/6693343
Subject(s) - digital watermarking , watermark , computer science , robustness (evolution) , artificial intelligence , computer vision , embedding , transparency (behavior) , visibility , image (mathematics) , pattern recognition (psychology) , computer security , optics , biochemistry , chemistry , physics , gene
Aiming at the problem that the robustness, visibility, and transparency of the existing visible watermarking technologies are difficult to achieve a balance, this paper proposes an adaptive embedding method for visible watermarking. Firstly, the salient region of the host image is detected based on superpixel detection. Secondly, the flat region with relatively low complexity is selected as the embedding region in the nonsalient region of the host image. ,en, the watermarking strength is adaptively calculated by considering the gray distribution and image texture complexity of the embedding region. Finally, the visible watermark image is adaptively embedded into the host image with slight adjustment by just noticeable difference (JND) coefficient. ,e experimental results show that our proposed method improves the robustness of visible watermarking technology and greatly reduces the risk of malicious removal of visible watermark image. Meanwhile, a good balance between the visibility and transparency of the visible watermark image is achieved, which has the advantages of high security and ideal visual effect.

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