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An Improved Watermarking Detect Algorithm for Color Image in Spatial Domain

机译:空间域中彩色图像的改进水印检测算法

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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.
机译:本文介绍了基于空间域中块概率的彩色图像的改进的水印检测算法。使用由秘密密钥和灰色代码生成的序列号置换二进制水印图像,然后通过秘密密钥嵌入不同位置的四次。通过修改主机图像的蓝色分量的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特征,并找到水印图像和参考图像之间的匹配点。然后通过这些匹配点的仿射变换来校正水印图像。水印的改进的提取方法是通过比较水印的所有组件的8 * 8块的强度以及计算检测二进制水印的概率。通过基准斯蒂尔克4.0测试,实验结果表明,该算法对各种攻击诸如仿射,旋转,裁剪,缩放,JPEG压缩,平均过滤等各种攻击稳健。

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