基于二维经验模式分解的图像水印嵌入算法

摘要

提出一种基于二维经验模式分解(BEMD)的图像水印嵌入算法,完成水印的嵌入和提取.对水印进行置乱并对原图像进行分块处理,再对置乱后的水印和分块后的原图像分别做BEMD分解,获得其相应若干固有模态函数(IMF),将水印的IMF分别嵌入分块后的原图像中,完成水印的嵌入.实验证明,该方法较以往的方法在水印的嵌入量上有了提高且鲁棒性较好,同时具有不可见性和较高的安全性.%This paper proposes an image processing method which is based on Bidimensional Empirical Mode Decomposition(BEMD). BEMD is applied in watermark embedding and extraction. The watermark is scrambled and the original image is divided into sub-images, then it applies BEMD to scrambling watermark and sub-images to obtain the corresponding Intrinsic Mode Function(IMF). The IMF of the watermark is embeded into each sub-image of the original image to complete the watermark embedding. Experimental results prove that this algorithm improves in the embedding watermark quantity and has a high robustness. At the same time, it has no visibility and high security.