Open AccessAdaptive STDM-Based PDF Documents Watermarking Algorithm Robust to Fixed Gain Attack
Author(s) -
Jing-Cai Liu,
Naixi Liu,
Shundong Li,
Daoshun Wang
Publication year - 2020
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 - 10.1088/1742-6596/1673/1/012021
Subject(s) - digital watermarking , additive white gaussian noise , computer science , robustness (evolution) , algorithm , dither , quantization (signal processing) , gaussian , white noise , artificial intelligence , image (mathematics) , telecommunications , computer vision , noise shaping , biochemistry , chemistry , physics , quantum mechanics , gene
Spread Transform Dither Modulation (STDM) has good performance in robustness against Additive White Gaussian Noise (AWGN) and re-quantization, so it has been widely used in image watermarking algorithms. However, STDM cannot resist Fixed Gain Attack (FGA). In the paper, we introduce an adaptive function into the traditional STDM algorithm, so that it can automatically adjust the amount of distortion according to the text line spacing in the document. Then we give an improved adaptive function to make our algorithm robust to FGA. Analysis and experimental results show that the algorithm proposed in this paper has good invisibility and high robustness against AWGN and FGA.