doi: 10.7763/IJIET.2013.V3.327
Double JPEG Compression Detection Based on Extended First Digit Features of DCT Coefficients
Wei Hou1
,
Zhe Ji1 ,
Xin Jin1 ,
Xing Li2
- 1National Computer Network and Information Security Administration Center, 100029, Beijing, China
- 2National Digital Switching System Engineering and Technological Research Center, 450002, Zhengzhou Henan, China
Abstract
Double JPEG compression detection is an important research topic for digital forensics. In this paper, we propose a powerful recompression detection method by extending the first digit features. Based on the analysis of the distribution of the first digits of quantized DCT coefficients, we extract the joint probabilities of the mode based first digits of the quantized DCT coefficients including value zero as the classifying features to distinguish between singly and doubly compressed images. Extensive experiments and comparisons with prior state-of-the-art demonstrate that the proposed scheme can detect the double JPEG compression effectively and outperforms the existing algorithms significantly. Moreover, our method can achieve a satisfactory classification accuracy even for the double JPEG compression with quality factor 95 followed by 50 or 55, while many previous works fail in the detection.
Keywords
- Double compression detection
- digital forensics
- first digit
- JPEG
How to Cite
Wei Hou, Zhe Ji, Xin Jin, and Xing Li, "Double JPEG Compression Detection Based on Extended First Digit Features of DCT Coefficients," International Journal of Information and Education Technology, vol. 3, no. 5, pp. 512-515, 2013. https://doi.org/10.7763/IJIET.2013.V3.327
Copyright & License
Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).