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一种基于FastICA的图像隐写提取算法
引用本文:李祁云,李建平,肖书成. 一种基于FastICA的图像隐写提取算法[J]. 计算机应用, 2007, 27(5): 1067-1069
作者姓名:李祁云  李建平  肖书成
作者单位:1. 解放军后勤工程学院,研究生四队,重庆,400016
2. 解放军后勤工程学院,国际小波分析应用研究中心,重庆,400016;电子科技大学,计算机科学与工程学院,四川,成都,610054
3. 解放军后勤工程学院,国际小波分析应用研究中心,重庆,400016
摘    要:针对隐写术的特点,提出了一种新的隐写提取算法。该算法不同于传统提取算法基于逆嵌入算法的思想,将快速独立分量分析(FastICA)引入提取算法中,进行载体图像与秘密图像的分离。隐写是在真彩色图像的小波系数上进行的,有效地将近几年来比较热门的隐写术、小波分析与独立分量分析结合在一起。实验验证独立分量分析技术不仅能够用于秘密信息提取而且还能够实现真正的盲提取。

关 键 词:隐写术  快速独立分量分析  小波系数  阈值
文章编号:1001-9081(2007)05-1067-03
收稿时间:2006-11-27
修稿时间:2006-11-272007-02-05

New extraction method of image steganography based on FastICA
LI Qi-yun,LI Jian-ping,XIAO Shu-cheng. New extraction method of image steganography based on FastICA[J]. Journal of Computer Applications, 2007, 27(5): 1067-1069
Authors:LI Qi-yun  LI Jian-ping  XIAO Shu-cheng
Affiliation:1. Unh 4 of Postgraduate Department, Logistical Engineering University, Chongqing 400016, China; 2. International Centre for Wavelet Analysis and Applications, Logistical Engineering University, Chongqing 400016, China; 3. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu Sichuan 510054, China
Abstract:According to the features of steganography,a new extraction was proposed.Different from the traditional extraction based on the invert embedding,this new extraction used FastICA to separate the cover image and embedded image.The objects which have been treated with were wavelet coefficients of true color picture,so steganography,wavelet and Independent Component Analysis(ICA) were combined together.The effect of algorithm proves that ICA can not only be used as extraction but also extract the embedded image blindly.
Keywords:steganography  Fast Independent Component Analysis(FastICA)  wavelet coefficients  threshold
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