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Robust blind image watermarking scheme based on Redundant Discrete Wavelet Transform and Singular Value Decomposition

机译:基于冗余离散小波变换和奇异值分解的鲁棒盲图像水印方案

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摘要

Copyright protection and proof of ownership are two of the main important applications of the digital image watermarking. The challenges faced by researchers interested in digital image watermarking applications lie in the creation of new algorithms to serve those applications and to be resistant to most types of attacks, especially the geometrical attacks. Robustness, high imperceptibility, security, and large capacity are four essential requirements in any watermarking scheme. This paper presents a new image watermarking scheme based on the Redundant Discrete Wavelet Transform (RDWT) and the Singular Value Decomposition (SVD). The gray scale image watermark was embedded directly in the singular values of the RDWT sub-bands of the host image. The scheme achieved a large capacity due to the redundancy in the RDWT domain and at the same time preserved high imperceptibility due to SVD properties. Embedding the watermarking pixel's values without any modification inside the wavelet coefficient of the host image overcomes the security issue. Furthermore, the experimental results of the proposed scheme showed a high level of robustness not only against the image processing attacks but also against the geometrical attacks which are considered as difficult attacks to resist.
机译:版权保护和所有权证明是数字图像水印的两个主要重要应用。对数字图像水印应用感兴趣的研究人员面临的挑战在于创建新的算法以服务那些应用并抵抗大多数类型的攻击,尤其是几何攻击。鲁棒性,高不可感知性,安全性和大容量是任何水印方案中的四个基本要求。本文提出了一种基于冗余离散小波变换(RDWT)和奇异值分解(SVD)的图像水印方案。灰度图像水印直接嵌入到宿主图像的RDWT子带的奇异值中。该方案由于RDWT域中的冗余而实现了大容量,同时由于SVD属性而保留了较高的不可感知性。在主图像的小波系数内嵌入水印像素的值而没有任何修改,可以解决安全性问题。此外,所提出方案的实验结果显示出高水平的鲁棒性,不仅针对图像处理攻击,而且针对被认为难以抵抗的几何攻击。

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