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RST-invariant digital image watermarking based on log-polar mapping and phase correlation

机译:基于日志极性映射和相位相关的RST-不变数字图像水印

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Based on log-polar mapping (LPM) and phase correlation, the paper presents a novel digital image watermarking scheme that is invariant to rotation, scaling, and translation (RST). We embed a watermark in the LPMs of the Fourier magnitude spectrum of an original image, and use the phase correlation between the LPM of the original image and the LPM of the watermarked image to calculate the displacement of watermark positions in the LPM domain. The scheme preserves the image quality by avoiding computing the inverse log-polar mapping (ILPM), and produces smaller correlation coefficients for unwatermarked images by using phase correlation to avoid exhaustive search. The evaluations demonstrate that the scheme is invariant to rotation and translation, invariant to scaling when the scale is in a reasonable range, and very robust to JPEG compression.
机译:基于日志极性映射(LPM)和相位相关性,纸张提出了一种新颖的数字图像水印方案,其不变于旋转,缩放和翻译(RST)。我们在原始图像的傅立叶幅度谱的LPM中嵌入了一个水印,并使用原始图像的LPM与水印图像的LPM之间的相位相关来计算LPM域中的水印位置的位移。该方案通过避免计算逆对数 - 极性映射(ILPM)来保留图像质量,并且通过使用相位相关来产生较小的标记图像的相关系数,以避免穷举搜索。评估表明,该方案是不变的旋转和翻译,不变地缩放,当刻度在合理的范围内,并且对JPEG压缩非常强大。

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