基于Shearlet变换的盲图像水印算法

BLIND IMAGE WATERMARKING ALGORITHM BASED ON Shearlet TRANSFORM

为进一步提高基于变换域水印算法的性能,设计一种基于Shearlet变换的盲图像水印算法。首先将原始图像进行Shearlet变换;其次根据最大后验概率MAP准则选择重要系数;最后水印根据重要系数能量自适应嵌入。水印检测端使用盲水印检测。实验结果表明,该算法不仅具有很好的透明性,同时对常见图像处理攻击和几何攻击均具有很强的鲁棒性,其性能明显优于傅里叶域和小波域的水印算法。

To further enhance the performance of transform domain-based watermarking schemes, we design a blind image watermarking algorithm, it is based on Shearlet transform. First, the primitive image is decomposed by Shearlet transform. Then the important coefficients are selected by MAP （maximum a posteriori probability, MAP） criterion. Finally, the watermark is adaptively embedded according to the energy of important coefficients. The blind detection is used to detect the watermarking at receive end. Experimental results show that the proposed algorithm has excellent transparency and is very robust to common image processing and geometric attacks. Especially, its performance is significantly superior to the image watermarking schemes of Fourier domain or wavelet domain.