Name
Title | ||
|---|---|---|
Non-aligned double JPEG compression detection based on refined Markov features in QDCT domain |
Abstract | ||
|---|---|---|
Due to the widespread use of the JPEG format, non-aligned double JPEG (NA-DJPEG) compression is very common in image tampering. Therefore, non-aligned double JPEG compression detection has attracted significant attention in digital forensics in recent years. In most of the previous detection algorithms, grayscale images are used directly, or color images are first converted into grayscale images and then processed. However, it is worth noting that most tampered images are color images. To make full use of the color information in images, a detection algorithm, which uses color images directly, is put forward in this paper. The algorithm based on refined Markov in quaternion discrete cosine transform (QDCT) domain is proposed for NA-DJPEG compression detection. Firstly, color information of a given JPEG image is extracted from blocked images to construct quaternion, and then block image QDCT coefficient matrices, including amplitude and three angles ($$\psi $$, $$\phi $$, and $$\theta $$) can be obtained. Secondly, the refined Markov features are generated from the transition probability matrix in the corresponding refinement process. Our proposed refinement method not only reduces redundant features but also makes the acquired features more efficient in detection. Therefore, the refined Markov features can not only capture the intra-block correlation between block QDCT coefficients but also improve computing efficiency in real-time. Finally, support vector machine (SVM) method is employed for NA-DJPEG compression detection. The experiment results demonstrate that the proposed algorithm not only make use of color information of images, but also can achieve better detection performance with small size images (i.e., $$64 \times 64$$) outperforming state-of-the-art detection methods tested on the same dataset. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11554-019-00929-z | Journal of Real-Time Image Processing |
Keywords | Field | DocType |
Color image forensics, Non-aligned double JPEG compression detection, Quaternion discrete cosine transform Markov model, Real-time image feature selection. | Computer vision,Stochastic matrix,Computer science,Matrix (mathematics),Discrete cosine transform,Quaternion,Support vector machine,Markov chain,JPEG,Artificial intelligence,Grayscale | Journal |
Volume | Issue | ISSN |
17 | 1 | 1861-8200 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinwei Wang | 1 | 0 | 1.01 |
| Wei Huang | 2 | 0 | 0.34 |
| Xiangyang Luo | 3 | 539 | 66.85 |
| Yun Q. Shi | 4 | 2918 | 199.53 |
| Sunil Kr. Jha | 5 | 0 | 0.68 |