基于标注连接分量的二值水印图像重构

水印图像的提取是组成水印系统的重要部分。一般情况下，提取的水印都是在含水印图像在遭受一定的攻击后提取的，因此，提取的水印图像会有不同程度的噪音在里面，为了提高提取的水印图像的视觉质量，本文提出了一种基于标注对象的二值水印图像的重构算法。首先将水印图像的所有连接分量标注出来，然后计算每个连接分量包含的元素的数目；因为噪音一般都是孤立的元素，所以将数目最小的连接分量中的所有元素置为0，通过不断的循环直至水印图像中的连接分量等于原始水印图像数目为止。实验结果证明，本算法效果良好。

Binary Watermarking Image Reconstruction Based on Marked Connected Components

The extraction of watermarking image is an important part of the watermarking system. Generally, the extracted watermark is getted from attacked watermarking image. Therefore, the extracted watermark will have noise to some degree inside, in order to enhance the visual quality of watermark, a reconstruction algorithm is presented in this paper based on the tagging. Firstly, all connected components of watermark are marked, and then calculating the number of elements for each component. Secondly, the noise elements are generally isolated ones, the connected components having smallest number are all changed, and all elements of which are setted to zeros. Thus, some program - cycles maybe runned until the difference between the processed watermark and the original one is smaller than assigned threshold value. Experimental results show that this method is effective.