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Robust digital image watermarking method against geometrical attacks

机译:抵抗几何攻击的鲁棒数字图像水印方法

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摘要

This paper proposes a new image watermarking scheme which is robust to RST attacks with cropping 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 invariance, while translation invariance is provided by the use of an invariant centroid (IC) as the origin of LPM. IC 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. Furthermore, to prevent the watermarked image from degrading due to the coordinate system conversion, only LPM image of watermark signal is inverse mapped to Cartesian coordinates and add to the original image. 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)对裁剪的RST攻击具有鲁棒性。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对数极坐标图(LPM)来缩放不变性,而平移不变性是通过使用不变质心(IC)作为LPM的起源来提供的。 IC是灰度图像上中心区域的重心,尽管图像受到RST的攻击,但中心区域不变。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。此外,为了防止水印图像由于坐标系转换而劣化,仅将水印信号的LPM图像逆映射到笛卡尔坐标并添加到原始图像。实验结果表明,该方案对RST攻击具有鲁棒性。

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