基于高频分量修正的图像水印混合方法

针对图像版权保护中图像水印受攻击的鲁棒性问题,提出一种基于高频分量修正(high frequency component modification,HFCM)的图像水印混合方法.在嵌入部分,首先利用高斯低通滤波器对原始图像进行预处理,使用秘钥随机选择多个灰度级,并且构造滤波图像关于这些选择的灰度级直方图;然后引入直方图形状相关指标来选择像素数最高的像素组,并在所选择的像素组和未选择的像素组之间建立安全带.该文提出了一种HFCM机制的水印嵌入方案,将水印嵌入到所选像素组中,以进一步提高鲁棒性.在解码端,基于可用的秘钥识别水印像素组,并从中提取水印.实验结果表明,该文算法对不同的攻击具有较强的鲁棒性,且性能优于其他算法.

Image Watermark Mixing Method Based on High Frequency Component Correction

Aiming at the robustness of image watermarking under attack in image copyright protection, an image watermarking hybrid method based on high frequency component modification (HFCM) has been proposed in this paper. In the embedding part, the original image is preprocessed by Gaussian low-pass filter. Then, a secret key is used to randomly select a number of gray levels and the histogram of the filtered image with respect to these selected gray levels is constructed. After that, a histogram-shape-related index is introduced to choose the pixel groups with the highest number of pixels and a safe band is built between the chosen and non-chosen pixel groups. A watermark embedding scheme based on HFCM mechanism has been proposed, which embeds the watermark into the selected pixel group to further improve the robustness. At the decoding end, based on the available secret key, the watermarked pixel groups are identified and watermarks are extracted from them. Experimental results show that the proposed algorithm is robust to different attacks, and its performance is better than other algorithms.