基于灰度值统计特征的数字水印方法

Image Watermarking Based on Statistical Characteristics of Gary Value

提出了一种基于图像分块灰度值统计特征的数字水印方法,算法利用图像分块的灰度差异值判定水印信息的嵌入位置,对选定的图像分块进行DCT变换,然后将水印信息嵌入到中频系数当中。由于水印信息嵌入到了纹理复杂度因子比较大的块中,因此就增强了水印信息的不可见性。实验表明,本算法较好地保持了原始图像的品质,对非几何攻击和有损压缩具有较好的稳健性。

An image watermarking algorithm based on statistical characteristics of the image segmentation is proposed in this file. The embedding location is decided by calculating the different value of the gray values of image segmentations. And then watermarking information is embedded into the meddle coefficients of the DCT transformation of the selected host image segmentations. Watermarking information is embedded into image segmentation that has larger texture complication, and the watermarking information is invisible. Experimental results show that the algorithm maintains the quality of the original image and is robust to non-geometric attack and loss compression.