The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Designing steganographic distortion using directional filters
Abstract
This paper presents a new approach to defining additive steganographic distortion in the spatial domain. The change in the output of directional high-pass filters after changing one pixel is weighted and then aggregated using the reciprocal Hölder norm to define the individual pixel costs. In contrast to other adaptive embedding schemes, the aggregation rule is designed to force the embedding changes to highly textured or noisy regions and to avoid clean edges. Consequently, the new embedding scheme appears markedly more resistant to steganalysis using rich models. The actual embedding algorithm is realized using syndrome-trellis codes to minimize the expected distortion for a given payload.
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Citations
Cites
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
Self-citation
Cited by
Universal distortion function for steganography in an arbitrary domain
Holub, V., Fridrich, J., & Denemark, T. (2014) · EURASIP Journal on Information Security · doi:10.1186/1687-417x-2014-1 · Cited by 1,202
Self-citationContent-Adaptive Steganography by Minimizing Statistical Detectability
Sedighi, V., Cogranne, R., & Fridrich, J. (2016) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2486744 · Cited by 573
Self-citationDeep learning for steganalysis via convolutional neural networks
Qian, Y., Dong, J., Wang, W., & Tan, T. (2015) · SPIE Proceedings · doi:10.1117/12.2083479 · Cited by 537
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
Zhang, R., Zhu, F., Liu, J., & Liu, G. (2020) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2019.2936913 · Cited by 420
Metadata
- Authors
- Holub, V., & Fridrich, J.
- Venue
- 2012 IEEE International Workshop on Information Forensics and Security (WIFS)
- Publisher
- IEEE
- Published
- 2012-12
- Pages
- 234-239
- ISSN
- 2157-4774 (ISSN-L)
- OpenAlex
- W2542290803
- Cited by
- 966
- References
- 1
- FWCI
- 16.87
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Holub, V., & Fridrich, J. (2012). Designing steganographic distortion using directional filters. 2012 IEEE International Workshop on Information Forensics and Security (WIFS). https://doi.org/10.1109/wifs.2012.6412655
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
