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A Novel Digital Watermark Detecting Scheme Based on Principal Components

机译:基于主成分的数字水印检测新方案

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摘要

Digital watermarking technique provides an effective way to protect the image. A detecting scheme for digital image watermarking, which using principal components of the watermarked image, was proposed in this paper. The scheme was based on DWT and DCT, and using principal components of the watermarked image at the same time, As we know that the principal components of an image has the virtue of insensitivity to geometrical transform, filtering and rotating operation, so using this character for watermark detecting should have the same merit. The course of the scheme is as follow: first, the original image was decomposed by 2-D discrete wavelet transform and the detail sub-bands are reserved, then the approximation image is transformed by discrete cosine transform and embedded with watermark image. At the stage of watermark detection, The DWT and DCT were carried out first, at the same domain we extract the embedded watermark, which was corrupted by attacks. Then applied principal components transform to the corrupted image to restore the watermark. After processing, the restored watermark had least mean square error with the original watermark image. The experimental results showed its good unification between the robustness and insensitivity, and the quality of detected watermark is improved greatly at the same time.
机译:数字水印技术提供了一种保护图像的有效方法。提出了一种利用水印图像的主要成分的数字图像水印检测方案。该方案基于DWT和DCT,并同时使用了带水印的图像的主要成分,众所周知,图像的主要成分具有对几何变换,滤波和旋转操作不敏感的优点,因此使用此特征用于水印检测应该具有相同的优点。该方案的过程如下:首先,通过二维离散小波变换分解原始图像,保留细节子带,然后通过离散余弦变换变换近似图像,并嵌入水印图像。在水印检测阶段,首先进行DWT和DCT,在同一域中提取嵌入的水印,该水印被攻击破坏。然后将应用的主成分转换为损坏的图像以恢复水印。经过处理后,恢复的水印与原始水印图像的均方误差最小。实验结果表明,该算法在鲁棒性和不灵敏性之间具有很好的统一性,同时大大提高了检测水印的质量。

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