.png){kind=icon}
返回
Efficient JPEG image steganography using pairwise conditional random field model
.png){kind=icon}
PRE
AI
DOI：10.1016/j.sigpro.2024.109493.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Recent research shows that the security performance of JPEG image steganography can be improved by developing an accurate statistical model to characterize the correlations between Discrete Cosine Transform (DCT) coefficients. In this paper, a novel JPEG steganographic scheme called J-CRF is proposed to characterize the correlations between DCT coefficients using a pairwise Conditional Random Field (CRF) model, in which the correlated DCT coefficient pairs are modeled as bivariate Gaussian random variables. Under the framework of pairwise CRF, the proposed scheme formulates the problem of minimizing the statistical detectability within the Gaussian image model as the minimization of the sum of a series of unary and pairwise potentials, both of which are utilized to measure the local detectability of embedding messages in the DCT coefficient pairs. All the potentials associated with statistical detectability are formalized as the KL divergence between the statistical distributions of the cover and the stego. Experimental results demonstrate that the proposed J-CRF can outperform other SOTA JPEG steganographic schemes, e.g., J-UNIWARD, J-MiPOD, and JEC-RL, in resisting the detection of various advanced steganalyzers. In addition, the performance of J-CRF could be further boosted by reformulating it as the weighted sum of unary and pairwise potentials, called J-CRFW.
Keyword:
Steganography
JPEG image
Conditional Random Field (CRF)
Statistical model
Security
期刊
IF:
3.6
论文数:
10.0K
被引数:
1.7W
机构
引用论文
Improved block ordering and frequency selection for reversible data hiding in JPEG images.png)
SIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏Digital Image Steganography Survey and Investigation (Goal, Assessment, Method, Development, and Dataset)SIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏Homeless Interactions with the Built Environment: A Spatial Pattern Language of Abandoned Housing
OAAI
OAAI分享收藏
查看更多内容