基于提升小波和图像融合的数字图像隐藏技术  

Digital Image Information Hiding Technology Based on Lifting Wavelet Transform and Image Fusion

作　　者：吴为波[1] 雷赟[1] 齐影虹[2] 

机构地区：[1]江西理工大学现代教育技术及信息中心,江西赣州341000 [2]南昌大学计算中心,南昌330031

出　　处：《江西理工大学学报》2011年第1期56-59,共4页Journal of Jiangxi University of Science and Technology

基　　金：江西省自然科学基金资助项目(2007GZS2156);江西理工大学自选课题(jxxj10088)

摘　　要：提出了一种基于提升小波变换的彩色图像融合算法.首先阐述提升小波变换的基本原理,然后根据人眼的视觉特性,将彩色图像变换到YIQ颜色空间,运用不同融合规则进行融合.对I和Q色彩分量采用改进的混沌序列来代替融合参数融合,对Y分量采用自反馈法得到其最终优化融合结果,最后由三分量融合结果变回到RGB颜色空间,在该图像融合方法的基础上,给出了针对相同大小图像的数字图像隐藏的方法,在图像融合过程中,用改进的混沌序列来代替融合参数,使得该方法具有很好的安全性.实验表明,该方法具有较好的效率和安全性.A color multi-focus image fusion of self-feedback algorithm based on lifting wavelet transform is presented.Firstly,the basic principle of lifting wavelet transform is discussed.Secondly,feature of human vision system considered,the color images are transformed into YIQ color space and different fusion rules are used.The fusion parameters are substituted by extended chaotic sequences.This rule is used in fusing I and Q components,and an optimized fusion result of Y component is obtained by self-feedback fusion rule.Then three fusion results are transformed into RGB space.Based on the image fusion,we present an digital image hiding technology for images with different sizes.In the process of image fusion,the fusion parameters are substituted by extended chaotic sequences,which makes the algorithms safer.The experimental results indicate the algorithm is efficient and safe.

关 键 词：图像融合 提升小波变换 图像隐藏 混沌序列 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]