A Gray Scale Watermarking Algorithm Based on LU Factorization

Shumei Wang, W. Zhao, Zhicheng Wang
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引用次数: 18

Abstract

LU Factorization is a triangular decomposition approach of non-singular matrix, and the digital image can be seen as a matrix. Based on the characteristics of the LU Factorization, this paper presents a novel robust watermarking algorithm in wavelet domain of digital image. Firstly, the original image will be transformed into wavelet domain by DWT, and the level of which is decided by the volume of watermark information. Next to do is computing the variances of the last details, and select detail matrix information whose variance is the max one among details. Then it will be preprocessed, if the image matrix is singular matrix, it will be converted into a non-singular matrix by permutation matrix which can be as a key; Secondly, the preprocessed image is decomposed into two triangular matrices including the upper one and the lower one with 1's on the main diagonal, and which have good distribution; Finally, the scrambled meaningful watermark is embedded into the non-zero pixels of two triangular matrixes adaptively. The experimental results show that the algorithm is simple, with better robustness and security.
基于LU分解的灰度水印算法
LU分解是一种非奇异矩阵的三角分解方法,数字图像可以看作是一个矩阵。基于LU分解的特点,提出了一种新的数字图像小波域鲁棒水印算法。首先,对原始图像进行小波变换,小波变换的大小取决于水印信息的大小。接下来计算最后一个细节的方差,选择方差在细节中最大的细节矩阵信息。然后对图像矩阵进行预处理,如果图像矩阵为奇异矩阵,则通过置换矩阵将其转换为非奇异矩阵,置换矩阵可作为密钥;其次,将预处理后的图像分解为两个三角形矩阵,即主对角线上为1的上、下两个三角形矩阵,它们具有良好的分布;最后,将置乱后的有意义水印自适应嵌入到两个三角形矩阵的非零像素中。实验结果表明,该算法简单,具有较好的鲁棒性和安全性。
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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