基于离散余弦变换与共生矩阵特征的图像隐写算法  

Image Steganographic Algorithm Based on Discrete Cosine Transforms and Co-occurrence Matrix Feature

作　　者：张晓丹[1] 李春来[1] 

机构地区：[1]吉首大学信息科学与工程学院,湖南吉首416000

出　　处：《计算机工程》2015年第8期127-131,共5页Computer Engineering

基　　金：湖南省自然科学基金资助项目(201312321)

摘　　要：为获得理想的图像隐写结果,提出一种改进的图像隐写算法。根据共生矩阵特征的子块间离散余弦变换系数关系设计失真函数,结合网格码使用加减1方式完成秘密信息的嵌入,通过仿真实验测试算法性能,结果表明,与现有图像隐写算法相比,该算法可提高图像隐写的安全性,有效抵抗通用隐写检测,具有较好的抗隐写分析性能和鲁棒性。How to design secure steganographic algorithm is still difficult and in order to obtain better results of image steganographies,a novel steganographic algorithm based on co-occurrence matrix feature and Discrete Cosine Transform（DCT）is proposed.A distortion function is designed by using correlation of inter-block discrete cosine transforms coefficients which can reflect co-occurrence matrix feature,message embedding is completed based on syndrome trellis codes and using ±1 changing mode,and the simulation experiments are carried out to test the performance of algorithm.Simulation results show that,compared with other steganographies algorithms,the proposed algorithm has improvement in security,gets outstanding erformance in common anti-detection,and improves the speed obviously and the quality of stegano image is better.

关 键 词：图像隐写 失真函数 嵌入式模式 离散余弦变换 共生矩阵特征 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]