Open AccessAn Adaptive JPEG Steganographic Scheme Based on Run‐Length Statistical Complexity
Author(s) -
Wen Juan,
Zhang Jie,
Zhou Jie,
Li Yan,
Xue Yiming
Publication year - 2018
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2017.11.012
Subject(s) - discrete cosine transform , jpeg , steganography , embedding , computer science , algorithm , trellis modulation , mathematics , randomness , theoretical computer science , artificial intelligence , image (mathematics) , data compression , statistics , fading , decoding methods
This paper presents a novel adaptive JPEG steganographic scheme in Discrete cosine transform (DCT) domain using Run‐length statistical complexity (RSC). Unlike the traditional complexity measurements, RSC considers the change randomness of DCT coefficients in image blocks. The distortion functions in both side‐informed and non‐side‐informed schemes are derived by RSC and minimized by Syndrome trellis coding (STC). Experimental results show superior performance of our scheme over a wide range of embedding rates at different image quality factors compared with previous three common steganographic schemes.