Image copy detection has three important characteristics: real-time, accuracy and robustness.

基于内容的图像拷贝检测包含了三个重要特性：准确性、鲁棒性和实时性。

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Aiming at a common copy-paste forgery in the research field of digital image forensics, this paper proposes a detection approach based on wavelet transform and singular value decomposition.

针对数字图像取证中一类常见的复制粘贴图像伪造，本文提出了一种基于小波变换和奇异值分解的检测算法。

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To detect the forged parts in a single image with copy-move attack, an autocorrelation detection method based on phase and amplitude spectrum of FFT is proposed.

针对一类单幅图像的复制遮盖篡改，提出一种基于快速傅立叶变换相位和幅度的自相关检测算法对篡改部位进行检测。

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