Image Steganography Using an Eight-Element Neighborhood Gaussian Markov Random Field Model

Author:

Tong YichenORCID,Ni JiangqunORCID,Su WenkangORCID

Publisher

Springer International Publishing

Reference15 articles.

1. Li, B., Wang, M., Huang, J.: A new cost function for spatial image steganography. In: Proceedings IEEE ICIP, Pairs, France, 27–30 October 2014

2. Filler, T., Judas, J., Fridrich, J.: Minimizing additive distortion in steganography using syndrome-trellis codes. IEEE TIFS 6(3), 920–935 (2011)

3. Sedighi, V., Fridrich, J., Cogranne, R.: Content-adaptive pentary steganography using the multivariate generalized Gaussian cover model. In: Proceedings of the SPIE 9409, Media Watermarking, Security, and Forensics 2015, 9409H, 4 March 2015

4. Sedighi, V., Cogranne, R., Fridrich, J.: Content-adaptive steganography by minimizing statistical detectability. IEEE TIFS 11(2), 221–234 (2016)

5. Holub, V., Fridrich, J.: Designing steganographic distortion using directional filters. In: Fourth IEEE International Workshop on Information Forensics and Security (2012)

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