论文标题
通过频率分析的假绘画检测
Fake Generated Painting Detection via Frequency Analysis
论文作者
论文摘要
随着深度神经网络的发展，可以通过各种样式转移算法来生成数字假绘画，以检测伪造的绘画，我们分析了傅里叶频域中的假生成和真实绘画，并观察到统计差异和文物。根据我们的观察结果，我们通过在频域中提取三种类型的特征，通过频率分析（FGPD-FA）提出了假生成的绘画检测。此外，我们还提出了一个数字假绘画检测数据库，以评估所提出的方法。实验结果证明了在不同的测试条件下提出的方法的卓越性。
With the development of deep neural networks, digital fake paintings can be generated by various style transfer algorithms.To detect the fake generated paintings, we analyze the fake generated and real paintings in Fourier frequency domain and observe statistical differences and artifacts. Based on our observations, we propose Fake Generated Painting Detection via Frequency Analysis (FGPD-FA) by extracting three types of features in frequency domain. Besides, we also propose a digital fake painting detection database for assessing the proposed method. Experimental results demonstrate the excellence of the proposed method in different testing conditions.
