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RST-Resistant Image Watermarking Using Invariant Centroid and Reordered Fourier-Mellin Transform

机译:使用不变质心和重新排序的Fourier-Mellin变换的RST抵抗图像水印

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This paper proposes a new image watermarking scheme which is robust to RST attacks by improving Fourier-Mellin transform based Watermarking (FMW). The proposed scheme reorders and modifies function blocks of FMW for improvement of realization and performance. Unlike FMW, our method uses Log-Polar Map (LPM) in the spatial domain for scaling invaxiance, while translation invariance is provided by the use of an invariant centroid as the origin of LPM. Invariant centroid is a gravity center of a central area on gray scale image that is invariant although an image is attacked by RST. For this, its calculation method is proposed. Also since LPM includes the property which transforms rotation of Cartesian coordinates system into a cyclic shift, 2-D DFT is performed on the LPM image and the magnitude spectrum extracted to provide a domain that is rotation invariant. The resulting domain, which is invariant to RST, is then used as the watermark-embedding domain. Experimental results demonstrate that the proposed scheme is robust to RST attacks.
机译:本文提出了一种新的图像水印方案,该方案通过改进基于傅立叶-梅林变换的水印(FMW)来抵抗RST攻击。所提出的方案对FMW的功能块进行重新排序和修改,以提高实现和性能。与FMW不同,我们的方法在空间域中使用Log-Polar Map(LPM)来缩放缩放,而平移不变性是通过使用不变质心作为LPM的起源来提供的。不变质心是灰度图像上中心区域的重心,尽管图像受到RST的攻击,但该中心不变。为此,提出了其计算方法。此外,由于LPM包括将笛卡尔坐标系的旋转转换为循环移位的属性,因此对LPM图像执行2-DFT,并提取幅度谱以提供旋转不变的域。然后将生成的域(对于RST不变)用作水印嵌入域。实验结果表明,该方案对RST攻击具有鲁棒性。

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