A Survey on Image Steganography and Steganalysis
By Bin Li, Junhui He, Jiwu Huang, Y. Shi. J. Inf. Hiding Multim. Signal Process., 2011
492 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/3219b0b80fe8373899f04a9f68826e94475b2c66
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Kevin Alex Zhang
- Songtao Wu
- Alfredo Cuesta-Infante
- Lei Xu
- Bin Li
- Sheng-Hua Zhong
- Yan Liu
- Kalyan Veeramachaneni
Citations in the corpus
- A new cost function for spatial image steganography (2014, background): “Steganography aims to hide information in stego media without drawing suspicion from steganalysis [1][2].”
- Current status and key issues in image steganography: A survey (2014, background): “Survey reports presented till now [7,10–12] explored various fundamental issues in steganography, spatial domain and transform domain approaches for data hiding, steganalysis techniques etc.”
- Deep residual learning for image steganalysis (2018, background): “This formulation is also called universal steganalysis [18], attracting increasing attentions in recent years.”
- SteganoGAN: High Capacity Image Steganography with GANs (2019, methodology): “JSteg uses the same transformation into the frequency domain, but modifies the least significant bits of the frequency coef-ficients (Li et al., 2011).”