一种基于SVR的数字图像水印算法

Digital Watermarking Algorithm Based on SVR

以回归型支持向量机为基础,提出一种彩色数字图像水印算法。在小波域内选取特征向量并获得支持向量机训练模型,进而利用该训练模型嵌入和提取水印信息。该算法以保证不可感知性和鲁棒性的良好平衡为前提,实现了水印的盲检测。实验仿真表明,该算法不仅具有较好的不可感知性,而且对叠加噪声、JPEG压缩、锐化、平滑滤波、对比度增强、剪切等常规处理具有较好的鲁棒性,其整体性能优于一般基于支持向量机的图像水印方案。

A new digital color image watermarking algorithm based on support vector regression （SVR） is proposed. The feature vector can be selected in the wavelet domain and the train model can be obtained by applying the support vector regression theory. The watermark signal can be embedded or extracted by utilizing the above train model. The proposed scheme can extract the digital watermark without the help of the original digital image. Experimental results show that the proposed scheme is invisible and robust against common signal processing such as noise adding, JPEG compression, sharpening, smoothing, filtering, contrast enhancement, shearing and so on. Especially, it performs better than other image water-marking schemes based on support vector machine.