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论文类型：会议论文

发表时间：2017-08-05

收录刊物：EI

卷号：226 LNICST

页面范围：158-167

摘要：Detection of double JPEG compression plays an increasingly important role in image forensics. This paper mainly focuses on the situation where the images are aligned double JPEG compressed with two different quantization tables. We propose a new detection method based on the fusion features of Benford features and likelihood probability ratio features in this paper. We believe that with the help of likelihood probability ratio features, our fusion features can expose more artifacts left by double JPEG compression, which lead to a better performance. Comparative experiments have been carried out in our paper, and experimental result shows our method outperforms the baseline methods, even when one of the quality factors is pretty high. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.