结合人眼视觉系统的感知特性与图像的局部相关特性,提出了一种基于模糊聚类的小波域数字图像水印嵌入方案。该方案首先对原始载体图像实施小波变换;然后结合视觉感知特性,在小波域内进行模糊C-均值(FCM)聚类分析,自适应确定出数字水印的嵌入位置与嵌入强度;最后利用图像自身的局部相关性,通过修改小波系数值,将数字水印嵌入到宿主图像内。该方案在提取数字水印信息时,不需要原始载体图像。实验结果表明,该自适应小波域图像水印嵌入技术不仅具有较好的透明性,而且对诸如叠加噪声、JPEG压缩、平滑滤波、几何前切、图俊增疆、马采辛衬果等攻击均具有较好的鲁棒性。
Combining the human visual system with the image local properties, an adaptive digital image watermarking scheme based on fuzzy cluster in DWT domain was proposed. First, the DWT was performed on host image. Then, the watermark embedding location and embedding intensity were identified adaptively by applying fuzzy C-means clustering algorithm according to the human visual system in DWT domain. Finally, the watermark was embedded adaptively by modifying the wavelet coefficients according to the image local correlation. The proposed watermarking scheme could extract the watermark without the help from the original image. Experimental results show that the proposed adaptive image watermarking scheme is invisible and robust against various signal processing such as cropping, compression, filtering, noise adding, image enhancement, and mosaic.