一种HVS和Contourlet结合的图像水印算法

A Contourlet-Based Image Watermarking Algorithm Combined with HVS

提出了一种Contourlet域的图像水印算法.首先对图像进行多层分解;然后利用视觉系统的亮度纹理特性,把伪随机序列组成的水印信号自适应地嵌入到能量最大的子带中;最后经过逆变换得到嵌入水印后的图像.该算法解决了直接嵌入边缘扭曲的问题,检测端使用基于相关的盲检测.实验结果表明,该算法能够在满足不可见性的条件下抵抗JPEG压缩、加噪和剪裁等攻击,具有很强的鲁棒性.

A watermarking algorithm in contourlet domain is proposed. Firstly, the image is decomposed into several subbands. Secondly, according to the luminance and texture characteristics of the HVS, the watermark composed of a pseudorandom sequence is adaptively embedded into the subband with the largest energy. Finally, the inverse transform is performed to obtain the watermarked image. The blind detection is used, and the algorithm can achieve a good imperceptibility. Experimental results show that the algorithm has good robustness against attacks such as JPEG, noise and crop.