Gibbs Construction in Steganography
By Tomáš Filler, Jessica J. Fridrich. IEEE Transactions on Information Forensics and Security, 2010
298 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/793d003ab22d15c2fea80e37ed599417db5a1d9d
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In Computer Vision and Pattern Recognition
- Jessica J. Fridrich
- Vojtech Holub
- Bin Li
- Jan Kodovský
- Jiwu Huang
- Tomáš Denemark
- Tomás Pevný
- Xiaolong Li
Citations in the corpus
- Universal distortion function for steganography in an arbitrary domain (2014, methodology): “1 Spatial domain In the spatial domain, we compare the proposed method with HUGO [15], HUGO implemented using the Gibbs construction with bounding distortion (HUGO BD) [4], WOW [17], LSB matching (LSBM), and the edge-adaptive (EA) algorithm [28] With the exception of the EA algorithm, in which the c”
- Content-Adaptive Steganography by Minimizing Statistical Detectability (2016, methodology): “bounding distortion [33], and the HIgh-Low-Low embedding method called HILL [5].”
- Ensemble Classifiers for Steganalysis of Digital Media (2012, background): “Because modern steganography [15], [35], [41] places embedding changes in those regions of images that are hard to model, increasingly more complex statistical descriptors of covers are required to capture a larger number of (weaker) dependencies among cover elements that might be disturbed by…”
- A new cost function for spatial image steganography (2014, methodology): “To minimize the embedding distortion (1), one can simulate optimal embedding [4],[5] by assigning”
- Digital image steganography using universal distortion (2013, methodology): “4 we explain a general procedure (originally introduced in [3]) that gives UNIWARD an additive form to”
- "Break Our Steganographic System": The Ins and Outs of Organizing BOSS (2011, methodology): “Due to recent development in coding techniques [2,3], we believe that larger gains (in secure payload for example) can be achieved by designing distortion functions more adaptively to the image content instead of by changing the coder.”
- Minimizing Additive Distortion in Steganography Using Syndrome-Trellis Codes (2011, methodology): “…embedding in steganography that minimizes a distortion function is connected to many basic principles used for constructing embedding schemes for complex cover sources today, including the principle of minimal-embedding-impact [16], approximate model-preservation [5], or the Gibbs construction [7].”