量子电子学报2016，Vol.33Issue(4)：427-436,10.DOI:10.3969/j.issn.1007-5461.2016.04.007
一种KLT优化模式下的图像隐写术
An image steganography based on Karhunen-Loeve transform optimization pattern
摘要
Abstract
Aiming at the problem of too much perceptual distortion and high error rates caused by high image source compression rate existing in steganography technology of information security field,an image steganography based on Karhunen-Loeve transform (KLT) optimization technique is designed.The covariance matrix and cluster mean value are obtained with iterative clustering algorithm.It divides images by adjusting the correlation values.The image data are compressed by introducing KLT algorithm.The least significant bit is adopted to hide data instead of the encrypting data.Image informations are hidden effectively by using inverse linear transformation operations and the original pixel matrix when extracting informations.Results show that image extracted by the method has higher capacity,larger signal-to-noise ratio and smaller image data distortion compared with common algorithms.关键词
信息安全/图像隐写术/Karhunen-Loeve变换/最低有效位/容量Key words
information security/image steganography/Karhunen-Loeve transform/least significant bit/capacity分类
信息技术与安全科学引用本文复制引用
王梅,穆炯,伊祥..一种KLT优化模式下的图像隐写术[J].量子电子学报,2016,33(4):427-436,10.基金项目
Supported by Natural Science Foundation Key Project from Education Information Management Center of Ministry of Education(教育部教育信息管理中心自然科学基金资助重点项目,jybxg2015) （教育部教育信息管理中心自然科学基金资助重点项目,jybxg2015）
