一种改进的空间域彩色图像水印检测算法

Liu Jun, L. Lizhi
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引用次数: 9

摘要

提出了一种改进的基于空间域块概率的彩色图像水印检测算法。利用密钥和灰度码生成的序列号对二值水印图像进行排列,然后用密钥在不同位置嵌入四次。通过修改主图像的蓝色分量的8*8的非重叠块的强度来嵌入二进制编码水印的每个位。在水印提取方案中,提取图像的尺度不变性特征,找到水印图像与参考图像之间的匹配点。然后对这些匹配点进行仿射变换,对水印图像进行校正。改进的水印提取方法是通过比较水印各分量与原始图像的8*8块的强度,计算检测到二值水印的概率。实验结果表明,该算法对仿射、旋转、裁剪、缩放、JPEG压缩、均值滤波等攻击具有较强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Watermarking Detect Algorithm for Color Image in Spatial Domain
This paper presents an improved watermarking detected algorithm for color image based on a block probability in spatial domain. A binary watermark image is permutated using sequence numbers generated by a secret key and Gray code, and then embedded four times in different positions by a secret key. Each bit of the binary encoded watermark is embedded by modifying the intensities of a non-overlapping block of 8*8 of the blue component of the host image. In watermarking extract scheme, the scale invariant features of images are extracted, and the match points between the watermarking image and the reference image are found. Then the watermarking image is corrected by affine transform of these match points. The improved extraction method of the watermark is by comparing the intensities of a block of 8*8 of all components of the watermarked and the original images and calculating the probability of detecting binary watermark. Tested by benchmark Stirmark 4.0, the experimental results show that the algorithm is robust against various kinds of attacks such as Affine, Rotating, Cropping, Scaling, JPEG compression, Mean filtering and so on.
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