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A new robust digital watermarking using local polar harmonic transform

机译:使用局部极性谐波变换的新型鲁棒数字水印

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摘要

Geometric distortions are more difficult to tackle than other types of attacks. It is a challenging work to design a robust image watermarking scheme against geometric distortions. In this paper, we propose a robust digital image watermarking scheme based on local polar harmonic transform. The proposed scheme has the following advantages: (1) the stable and uniform image feature points are extracted by the improved speeded-up robust feature (SURF) detector, in which the probability density gradient is utilized, (2) the affine invariant local feature regions are constructed adaptively according to the variation of local probability density, and (3) a new and effective 2D transform, named polar harmonic transform (PHT), is introduced to embed watermark in the digital image. Experiments are carried out on a digital image set of 100 images collected from Internet, and the preliminary results show that the proposed image watermarking is not only invisible and robust against common image processing operations such as filtering, noise adding, and JPEG compression, but also robust against the geometric distortions. (C) 2015 Elsevier Ltd. All rights reserved.
机译:几何失真比其他类型的攻击更难解决。设计针对几何失真的鲁棒图像水印方案是一项艰巨的工作。在本文中,我们提出了一种基于局部极性谐波变换的鲁棒数字图像水印方案。所提出的方案具有以下优点:(1)利用概率密度梯度的改进的加速鲁棒特征(SURF)检测器提取稳定均匀的图像特征点;(2)仿射不变局部特征。根据局部概率密度的变化来自适应地构造区域,(3)引入一种新的有效的二维变换,称为极谐波变换(PHT),以将水印嵌入数字图像中。对从Internet上收集到的100张图像的数字图像集进行了实验,初步结果表明,所提出的图像水印不仅对常见的图像处理操作(如过滤,添加噪声和JPEG压缩)不可见且鲁棒,而且强大的抗几何变形能力。 (C)2015 Elsevier Ltd.保留所有权利。

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