基于支持向量机的小波域图像水印算法

提出了一种新的基于支持向量机(support vector machine,SVM)的小波域图像水印算法。其主要思想是先对图像进行小波分解,然后利用图像小波分解后的子图系数之间的关系训练SVM,并利用训练好的SVM在小波域嵌入水印和提取水印。实验结果表明,提出的方法对于一般的图像处理和JPEG压缩都具有很强的鲁棒性,与基于SVM的空间域上的算法相比性能更加优越。

Image watermarking technique in wavelet domain based on supportvector machine

A new image watermarking technique in wavelet domain based on support vector machine(SVM) is proposed.First,the image is decomposed through wavelet transform.Then the relationship between the selected coefficient and its'neighboring coefficients is applied to train SVM.The watermark is adaptively embedded in wavelet domain and can also be extracted by the well trained SVM.Experimental results show that the proposed method's performance is better than the one based on SVM in spacial domain in the high robustness to the common image processing and JPEG compression.