摘要
本文首先介绍BMP文件结构及特点,再介绍LSB算法,针对传统LSB算法可嵌入图像大小的限制,提出了一种有损信息隐藏算法HSB(Highest Significant Bits),此算法基于24位BMP图像文件,有效的增加了嵌入图像的大小,分别对于图像型和文字型图像进行实验证明。实验编程环境为VS2008,结果证明了此算法的正确性和有效性。
This dissertation first introduces the structure and characteristic of BMP file and then the LSB algorithm. A lossy information hiding algorithm named HSB (Highest Significant Bits) is proposed in order to break the limit of the embedded image by the traditional LSB algorithm. The new algorithm is based on 24-bit BMP image and increases the size of the embedded image, which is applicable to both image and text. The development environment is VS2008 and it demonstrates the correctness and effectiveness of the new algorithm.
出处
《数据挖掘》
2012年第2期7-11,共5页
Hans Journal of Data Mining
基金
本文受国家“863”项目资助(项目编号:2009AA01Z435)。