The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Steganalysis using image quality metrics
Abstract
We present techniques for steganalysis of images that have been potentially subjected to steganographic algorithms, both within the passive warden and active warden frameworks. Our hypothesis is that steganographic schemes leave statistical evidence that can be exploited for detection with the aid of image quality features and multivariate regression analysis. To this effect image quality metrics have been identified based on the analysis of variance (ANOVA) technique as feature sets to distinguish between cover-images and stego-images. The classifier between cover and stego-images is built using multivariate regression on the selected quality metrics and is trained based on an estimate of the original image. Simulation results with the chosen feature set and well-known watermarking and steganographic techniques indicate that our approach is able with reasonable accuracy to distinguish between cover and stego images.
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Citations
Cites
Secure spread spectrum watermarking for multimedia
Cox, I. J., Kilian, J., Leighton, F. T., & Shamoon, T. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.650120 · Cited by 5,299
Image quality measures and their performance
Eskicioglu, A. M., & Fisher, P. S. (1995) · IEEE Transactions on Communications · doi:10.1109/26.477498 · Cited by 2,117
Cited by
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
Statistical evaluation of image quality measures
Sankur, B. (2002) · Journal of Electronic Imaging · doi:10.1117/1.1455011 · Cited by 668
Self-citationSteganalysis Using Higher-Order Image Statistics
Lyu, S., & Farid, H. (2006) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2005.863485 · Cited by 389
Blind source camera identification
Kharrazi, M., Sencar, H. T., & Memon, N. (2005) · 2004 International Conference on Image Processing, 2004. ICIP '04. · doi:10.1109/icip.2004.1418853 · Cited by 318
Self-citationRandom Projections of Residuals for Digital Image Steganalysis
Holub, V., & Fridrich, J. (2013) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2013.2286682 · Cited by 261
Metadata
- Authors
- Avcibas, I., Memon, N., & Sankur, B.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2003-02
- Volume
- 12
- Issue
- 2
- Pages
- 221-229
- ISSN
- 1057-7149 (ISSN-L)
- OpenAlex
- W2119199090
- Cited by
- 562
- References
- 2
- FWCI
- 28.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Avcibas, I., Memon, N., & Sankur, B. (2003). Steganalysis using image quality metrics. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2002.807363
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