2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
| Paper ID | IFS-8.4 | ||
| Paper Title | Extending the Reverse JPEG Compatibility Attack to Double Compressed Images | ||
| Authors | Jan Butora, Jessica Fridrich, Binghamton University, United States | ||
| Session | IFS-8: Watermarking and Data Hiding | ||
| Location | Gather.Town | ||
| Session Time: | Friday, 11 June, 11:30 - 12:15 | ||
| Presentation Time: | Friday, 11 June, 11:30 - 12:15 | ||
| Presentation | Poster | ||
| Topic | Information Forensics and Security: [WAT] Watermarking And Data Hiding | ||
| IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
| Abstract | The reverse JPEG compatibility attack has recently been introduced as a very accurate and universal steganalysis algorithm for JPEG images with quality 99 or 100. The limitation to these two largest qualities appears fundamental as the prior work on this topic suggests. In this paper, we provide mathematical analysis and demonstrate experimentally that this attack can be extended to double compressed images when the first compression quality is 93 or larger and the second quality equal or larger than the first quality. Comparisons with state-of-the-art deep convolutional neural networks as well as detectors built in the JPEG domain show the merit of this work. | ||