基于无下采样Contourlet变换和人眼视觉系统的稳健盲水印算法

A Robust Blind Watermarking Algorithm Based on Non-Subsampled Contourlet Transform and Human Visual System

提出一种基于无下采样Contourlet变换(NSCT)和人眼视觉系统(HVS)的自适应稳健盲数字水印方案,该方案在NSCT域中对人类视觉系统的特性进行建模,利用人眼的视觉掩盖机制自适应嵌入水印序列。实验结果表明,该数字水印方案在保证人眼视觉不可见性的前提下,对包括噪声、JPEG压缩、图像剪切、滤波、图像扭曲等均具有很强的稳健性,并且检测水印时无需原始图像,是一种很有前途的盲水印方案。

A robust blind digital watermarking scheme based on non-subsampled contourlet transform （NSCT） and human visual system （HVS） was proposed. In this paper, we establish a model of the human visual system in NSCT domain, using visual masking effect of HVS to adaptive embed watermark sequences. The experimental results show that the digital watermark not only the transparency can be guaranteed, but also has good robustness to noise addition, JPEG compression, cropping, filtering and image twisting etc. Furthermore, the watermark can be detected without original image. This is a perspective blind watermarking scheme.