A Geometrically Robust Watermarking Scheme Based on Perceptual Hashes and Genetic Algorithm

被引：0

作者：

Li Chuanmu ^{[1
]}

Song Haiming ^{[2
]}

机构：

[1] Jimei Univ, Sch Comp Engn, Xiamen 361021, Peoples R China

[2] Jimei Univ, Tech Affairs Dept, Xiamen 361021, Peoples R China

来源：

ICCSSE 2009: PROCEEDINGS OF 2009 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION | 2009年

关键词：

digital watermarking; geometric attacks; genetic algorithm; perceptual hash;

D O I：

10.1109/ICCSE.2009.5228342

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A geometrically robust image watermarking scheme based on perceptual hashes and genetic algorithm is proposed. The synchronization information, which is generated by perceptual image hashes and pseudo-random number (PRN), and the watermark are embedded into the image based on the human visual system (HVS). In watermark extracting, the geometric transformation parameters are computed from perceptual hash values of the image, which is realized by genetic algorithm. And then the image is re-synchronized by inverse transforming with the parameters. According to the locally optimum detection and a threshold can decide the watermark is present or not, and the threshold is obtained by the Neyman-Pearson (NP) criterion. Simulation results show that the proposed scheme is not only invisible, but also robust against regular signal processing and geometric attacks.

引用

页码：673 / +

页数：2

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