数字图像信息隐藏技术研究.pdf

贵州大学
硕士学位论文
数字图像信息隐技术研究
姓名:白晶晶
申请学位级别:硕士
专业:计算机应用技术
指导教师:陈孝威
20080401
摘要
摘要
随着信息媒体数字化和网络通信技术的发展,信息传输的安全性越米越受到人们的重视。信息
隐藏技术是一种新的解決数字媒体交全问题的方法,广泛应用丁保密通信、数字版权保护、电子商
务、电子政务等领域。信息隐藏技术是将秘密文件隐藏在可公开的载体文件中,实现秘密地传输而
不会引起第三方的注意。
近年米,信息隐藏技术发展迅速,人们提出了很多信息隐藏的方法和算法,根据信息嵌入域的
不同,主要分为基丁空域的算法利基丁変換域的算法。基丁空域的信息隐薇算法计算简单,只有较
人的隐藏容量利较好的不可见性,但是安全性不高;基于变换域的信息隐藏算法的安全性较高,但
是一殿情况下隠癒容量低丁空域算法[千育に等2001]。小波分析是近年米发展起米的一种全新而有
效的信号处理和分析方法。小波变换的多分辨率特征给图像信号的处理利分析带米了极大的便利,
为实现人容量的图像信息隐藏提供了新的研究方向。由丁图像信息隐蔵质量与人照视觉感知直接相
关,结合人视觉特性合理地选择嵌入系数能够进一步提高隐菠效果。
人类视党系统是涉及生物学、心理学、物理学、数学等学科的综合体系。它利用人眼视觉对数
字信号的视觉冗余,将秘密信息隐在载体文件中。人眼视觉系统具有很多特性,如对比度特性、
灰度特性、方向性、视觉掩般特性等。根据人熈视觉的掩蔽特性对图像不同纹理特征区域进行分类,
在图像纹理较复你的区域隐藏信息,具有较好的不可见性。
论文以贵州省科技基金项日一“图像信息隐藏技术研究”为背景,在研究了以数字图像为载
体的信息隐藏关键技术的基础上,着重研究了人眼视党系统及小波分解的多分辨率特性,并总结了
图像小波变换各个频率子带的统计特性,探讨了在信息隐藏中选抒不同嵌入系数的原理及方法。文
中对利用人眼视觉系统的特性进行图像分类的方法和人容堇信息隐策略做了深入研究,给出了基
于小波能量区域分布特点的图像分类方法,在研究大容量信息隐疲策略后,提出了基于小波域的大
容量信息隐藏算法。实验表明,算法只有较好的不可见性和较大的隐容量。
关键词:图像信息隐藏;人类视觉系统;离散小波变换:图像分类;人容量
中图分类号:TP39
文献标识码:
Abstract
Abstract
Security of information transmission is becoming more and more important along with the
development of media digitized and network technology. Information hiding technique provides a new way
to resolve the problem of security in digital media. It is widely used in secured communication, protection
of digital copyright, electronic commerce, e-govemnment and so on Information hiding embeds secret data
in another public cover message. The secret data can be transmitted clandestinely. As the cover message is
public, it is very hard to find the secret data
In formation hiding echnique is rapidly developed in recent years. Some hiding methods and
algorithms are put forward. These algorithms can be mainly divided into space domain algorithm and
frequency domain algorithm. Generally, space domain algorithm is very simple in computing, it has better
invisibility, high embedding capacity, but low security than the algorithms in frequency domain[ Wang
yu-min 2006]. Wavelet analysis is a new and effective method for signal processing and analyzing. It's
multi-resolution characteristic is very useful for image processing and brings a new idea for information
hiding. For image information hiding quality is directly related to human visual system(H S), the better
hiding result can be obtained according to choosing the optimal coefficients based on HVS
HVS is a synthetical system involves biology, psychology, physics, mathematics, etc. The secret data
is embedding in cover message by using visual redundancy HVS has some features such as contrast, gray,
direction, visual conceal, etc. Image can be divided into dif erent regions, good result is gained by hiding
intormation In texture region
This paper has researched some related problems of image information hiding technique, the research
circumstance is Guizhou technology fund project--image Information Hiding Technology Research. HVS
and wavelet resolution are emphatic studid and statistical properties of frequency bands in Dwtare
summarized In this paper, a deep research is being carried out on using HVS for image classifying and the
mbedding rules of high capacity information hiding. A image classifying method is presented based on
region