Steganalysis of JPEG Images: Breaking the F5 Algorithm
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Detecting double JPEG compression with the same quantization matrix
IEEE Transactions on Information Forensics and Security
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Markovian rake transform for digital image tampering detection
Transactions on data hiding and multimedia security VI
IH'04 Proceedings of the 6th international conference on Information Hiding
Anti-forensics of digital image compression
IEEE Transactions on Information Forensics and Security - Part 2
| Hi-index | 0.00 |
In this paper, a simple yet effective anti-forensic scheme capable of misleading double JPEG compression detection techniques is proposed. Based on image resizing with bilinear interpolation, the proposed operation aims at destroying JPEG grid structure while preserving reasonably good image quality. Given a doubly compressed image, our attack modifies the image by JPEG decompressing, shrinking and zooming the image with bilinear interpolation before JPEG compression with the same quality factor as used in the given image. The efficacy of the proposed scheme has been evaluated on two prominent double JPEG detection techniques and the outcome reveals that the proposed scheme is mostly effective, especially in the cases that the first quality factor is lower than the second quality factor.