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Robust Algorithm for Detection of Copy-Move Forgery in Digital Images Based on Ridgelet Transform

机译:基于Ridgele变换的数字图像中复制伪造的鲁棒算法

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The rapid development in image processing techniques has enabled people to easily synthesize realistic images; this may result in the social problems when a doctored image cannot be distinguished from a real one by visual examination, so, the digital image authentication becomes more and more important in our daily life. In this paper, a robust algorithm based on ridgelet transform is proposed to detect copy-move forgery which is the most popular method in image tampering. The proposed method has the advantage of simplicity and low complexity of calculating. Simplicity lies in the vectors got by calculating Hu moments of the ridgelet transform domain; vectors with the length of 7 results in low complexity of calculating. The given experimental results show that our algorithm has good performance of detection of copy-move forgery, even the image undergo some kind of JPEG compress.
机译:图像处理技术的快速发展使人们能够轻松地综合现实图像;这可能导致社会问题在无法通过视觉检查中与真实的图像区分开,因此,数字图像认证在我们的日常生活中变得越来越重要。本文提出了一种基于Ridgele变换的强大算法,以检测复制移动伪造,这是图像篡改中最受欢迎的方法。该方法具有简单性和计算的复杂性的优点。简单性通过计算Ridgele变换域的HU时刻来实现的载体;长度为7的载体导致计算的低复杂性。给定的实验结果表明,我们的算法具有良好的检测复印伪造的性能,即使是图像也经过某种JPEG压缩。

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