摘要
嵌入容量和安全性是决定一个图像隐写算法质量的两个重要因素,提出一种兼顾隐写容量和抗检测性能的新型空域隐写算法.该方法首先应用jpeg压缩及解压处理载体图像得到压缩图像,再用载体图像与之对比求得误差图像,而后结合最佳扩域因子求出对应的基数矩阵,确定适合嵌入秘密信息的像素点,最后使用混合进制系统编码秘密信息比特,并将所得混合进制值分情况嵌入到载体图像中,从而实现秘密信息隐藏.实验结果表明,相比EALSBMR和HUGO等同类图像隐写算法,该算法不仅执行过程简洁高效,而且不可感知性和不可检测性也较为良好,最大嵌入率达到4bpp则确保了该算法在隐写容量上的明显优势.
There are two factors that have to be considered in designing a high-quality steganographic scheme. A novel image steganography algorithm in the spatial domain with a high capacity and good undetectability is proposed. The algorithm takes advantage of the error image resulting from the difference between the cover image and the jpeg compressed image and the matrix of bases resulting from the optimal extension fields factor in order to find the pixels where the secret data could be embedded. Then the secret data is expressed in a multiple-base notational system and embeds it into the cover image in different ways. Experiments demonstrate that the proposed method outperforms many other steganographys like EALSBMR and HUGO in terms of embedding efficiency, embedding capacity and anti-detection ability. Moreover,the maximum embedding rate up to 4 bpp guarantee that the method has an remarkable advantage in embedding capacity.
出处
《小型微型计算机系统》
CSCD
北大核心
2015年第8期1882-1885,共4页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(61379152)资助
陕西省自然科学青年基金项目(2013JQ8031)资助
关键词
隐写算法
图像质量因子
误差图像
混合进制系统
steganography
image quality factor
error image
multiple-base notational system
作者简介
E-mail：237017644@qq．com刘久文,男，1990年生，硕士研究生，研究方向为数字图像隐写;
潘峰，男，1967年生，博士，教授，研究方向为密码学、多媒体信息安全；
李军,男，1987年生，硕士，助教，研究方向为数字图像隐写．
