The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Low-Complexity Features for JPEG Steganalysis Using Undecimated DCT
Abstract
This paper introduces a novel feature set for steganalysis of JPEG images. The features are engineered as first-order statistics of quantized noise residuals obtained from the decompressed JPEG image using 64 kernels of the discrete cosine transform (DCT) (the so-called undecimated DCT). This approach can be interpreted as a projection model in the JPEG domain, forming thus a counterpart to the projection spatial rich model. The most appealing aspect of this proposed steganalysis feature set is its low computational complexity, lower dimensionality in comparison with other rich models, and a competitive performance with respect to previously proposed JPEG domain steganalysis features.
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Citations
Cites
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Rich Models for Steganalysis of Digital Images
Fridrich, J., & Kodovsky, J. (2012) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2190402 · Cited by 2,144
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Cited by
Steganalysis of Adaptive JPEG Steganography Using 2D Gabor Filters
Song, X., Liu, F., Yang, C., Luo, X., & Zhang, Y. (2015) · Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security · doi:10.1145/2756601.2756608 · Cited by 300
CNN-Based Adversarial Embedding for Image Steganography
Tang, W., Li, B., Tan, S., Barni, M., & Huang, J. (2019) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2019.2891237 · Cited by 292
JPEG steganalysis based on ResNeXt with Gauss partial derivative filters
Su, A., He, X., & Zhao, X. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09350-2 · Cited by 13
Metadata
- Authors
- Holub, V., & Fridrich, J.
- Venue
- IEEE Transactions on Information Forensics and Security
- Published
- 2015-02
- Volume
- 10
- Issue
- 2
- Pages
- 219-228
- ISSN
- 1556-6013 (ISSN-L)
- 1556-6021
- OpenAlex
- W2104705565
- Cited by
- 430
- References
- 2
- FWCI
- 21.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- Holub, V., & Fridrich, J. (2015). Low-Complexity Features for JPEG Steganalysis Using Undecimated DCT. IEEE Transactions on Information Forensics and Security. https://doi.org/10.1109/tifs.2014.2364918
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