一种NMF和SVD相结合的鲁棒水印算法

提出了一种非负矩阵变换(NM})和奇异值分解(SVD)相结合的数字水印算法。该算法对宿主图像进行离散小波变换，然后选取低频部分进行非负矩阵变换和奇异值分解，最后在奇异值中嵌入Arnold置乱后的水印。实验表明，该算法在获得良好的视觉效果的同时，又具有很好的鲁棒性，对加噪、滤波、剪切等图像攻击有很好的抵杭能力。

Robust Watermarking Scheme Based on NMF and SVD

In this paper, a digital watermarking algorithm based on nonncgative matrix factorization(NMF) and singular value decomposition(SVD))was proposed. The host image was decomposed with DWT. NMF and SVD were applied to the low frequency component of the original image. The watermark after Arnold scrambling was embedded into the singular value of the image. The experiment results indicate that the proposed scheme can obtain better visual effect and it is robust against attacks such as added noise, filtering and cropping.