An Adaptive JPEG Steganographic Scheme Based on Run-Length Statistical Complexity
An Adaptive JPEG Steganographic Scheme Based on Run-Length Statistical Complexity作者机构:College of Information and Electrical Engineering China Agricultural University College of Science China Agricultural University
出 版 物:《Chinese Journal of Electronics》 (电子学报(英文))
年 卷 期:2018年第27卷第1期
页 面:52-59页
核心收录:
学科分类:0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统]
基 金:supported by the National Natural Science Foundation of China(No.U1536121)
主 题:Steganography Distortion function Runlength Complexity
摘 要: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.