@inproceedings{6fcdf9bad663498680f0b1f142ab645b,
title = "Fake Generated Painting Detection Via Frequency Analysis",
abstract = "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.",
keywords = "Fourier Transform, Frequency Analysis, Image Forgery Detection, Paintings, Style Transfer",
author = "Yong Bai and Yuanfang Guo and Jinjie Wei and Lin Lu and Rui Wang and Yunhong Wang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Image Processing, ICIP 2020 ; Conference date: 25-09-2020 Through 28-09-2020",
year = "2020",
month = oct,
doi = "10.1109/ICIP40778.2020.9190892",
language = "英语",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "1256--1260",
booktitle = "2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings",
address = "美国",
}