Geometric attack resistant face watermarking using Zernike moments

Jie Li, J. Wang, Wei-min Ma, Hong Chen, Jing Peng
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引用次数: 3

Abstract

A robust face watermarking scheme is proposed to provide a solution to copyright protection of semantic content. To address the issue of less robustness to geometric attacks in watermarking scheme, Zernike moments based invariant features are extracted and some selected Zernike moments are proposed to carry a multi-bit watermark. Watermark signal is embedded into face region in the intensity spatial domain after the reconstruction process using the proposed geometric invariants. Experimental results prove the effectiveness of the new scheme, including excellent imperceptibility and robustness to image compression, median filtering and common geometric attacks such as rotation, scaling and translation.
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基于泽尼克矩的抗几何攻击人脸水印
为解决语义内容的版权保护问题,提出了一种鲁棒人脸水印方案。为了解决水印方案对几何攻击鲁棒性较差的问题,提取了基于泽尼克矩的不变特征,并提出了一些选定的泽尼克矩来携带多比特水印。利用所提出的几何不变量进行重构后,水印信号在强度空间域中嵌入人脸区域。实验结果证明了该算法的有效性,对图像压缩、中值滤波以及常见的旋转、缩放、平移等几何攻击具有良好的不感知性和鲁棒性。
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