The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Steganalysis using color wavelet statistics and one-class support vector machines
Abstract
Steganographic messages can be embedded into digital images in ways that are imperceptible to the human eye. These messages, however, alter the underlying statistics of an image. We previously built statistical models using first-and higher-order wavelet statistics, and employed a non-linear support vector machines (SVM) to detect steganographic messages. In this paper we extend these results to exploit color statistics, and show how a one-class SVM greatly simplifies the training stage of the classifier.
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Citations
Cites
Estimating the Support of a High-Dimensional Distribution
Schölkopf, B., Platt, J. C., Shawe-Taylor, J., Smola, A. J., & Williamson, R. C. (2001) · Neural Computation · doi:10.1162/089976601750264965 · Cited by 6,168
Exploring steganography: Seeing the unseen
Johnson, N. F., & Jajodia, S. (1998) · Computer · doi:10.1109/mc.1998.4655281 · Cited by 1,485
Cited by
Deep residual learning for image steganalysis
Wu, S., Zhong, S., & Liu, Y. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-017-4440-4 · Cited by 442
Steganalysis 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
Self-citationHow realistic is photorealistic?
Lyu, S., & Farid, H. (2005) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2004.839896 · Cited by 280
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Metadata
- Authors
- Lyu, S., & Farid, H.
- Venue
- SPIE Proceedings
- Publisher
- SPIE
- Published
- 2004-06-22
- Volume
- 5306
- Pages
- 35
- ISSN
- 0277-786X (ISSN-L)
- OpenAlex
- W2080348090
- Cited by
- 168
- References
- 2
- FWCI
- 13.27
- Type
- conference paper
- Language
- en
- Open access
- closed
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