摘要
基于对最低比特位匹配密写方法及利用图像直方图对其进行密写分析方法的研究,提出了一种基于直方图信息表补偿的最低比特位密写方法。该方法在密写过程中定义动态改变的直方图信息表,以记录图像秘密信息嵌入位置像素的增减,并根据信息表内的记录在下一次同样灰度值的像素嵌入秘密信息时对直方图信息表进行补偿处理,而总体原则是尽量保证密写后的直方图信息表变化最小。实验表明,经本方法密写后的图像直方图基本保持了原有峰值和变化趋势等属性,对一些针对图像直方图攻击方法有很好的效果。
Based on the research of LSB ( least significant bit) matching embedding method and the steganalysis method which utilized histograms of cover images, this paper proposed a new steganographic method based on histogram information table compensation. In the method, defined an information table and recorded the changes of the embedded bits dynamic. Through the table, minimized the next LSB which has the same pixel value will be judged to add or subtract one dynamically in order to compensate histogram information table and ensure the histogram' s change of cover image. The experimental results of the proposed embedding method show better performance against the attacks which aim at histograms than traditional LSB matching method. The histograms of cover images in which the secrete information is embedded with the proposed method can maintain their attributes such as their peak values and transformation trends in an acceptable degree.
出处
《计算机应用研究》
CSCD
北大核心
2009年第5期1971-1973,1976,共4页
Application Research of Computers
基金
国家"863"计划资助项目(2003AA84ts05)
关键词
信息安全
信息隐藏
密写
直方图函数
最低比特位匹配
information security
information hiding
stcganography
histogram character function
LSB matching