Independent component analysis of digital image watermarking

Shiwei Zhang, P. Rajan
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引用次数: 15

Abstract

In this paper independent component analysis (ICA) is used to test the robustness of watermarked image. By applying suitable ICA forward transformation, the distributions of the cover image and the watermark are modified. The cover image and the watermark are estimated by using a nonlinear filter and the inverse transform matrix. The preliminary experiments show that ICA attack not only influences the hidden information but also improves the image quality for reasonable embedding strengths.
数字图像水印的独立分量分析
本文采用独立分量分析(ICA)来检验水印图像的鲁棒性。通过适当的ICA正演变换,对封面图像和水印的分布进行修改。采用非线性滤波和逆变换矩阵对封面图像和水印进行估计。初步实验表明,在合理的嵌入强度下,ICA攻击不仅影响了隐藏信息,而且提高了图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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