摘要
信息隐藏是在不影响载体数据可用性的前提下,将信息隐藏在数字多媒体诸如图像、视频和语音信号中的一种信息安全技术。针对传统LSB掩密算法仅在图像像素值上进行秘密信息掩藏的缺点,提出了一种基于灰度值扩散的图像LSB掩密算法,该算法首先利用混沌影射将载体图像进行像素灰度值扩散,然后在扩散后的灰度值上进行LSB掩密嵌入,最后进行灰度值逆扩散得到含密图像。实验结果表明,本算法不仅可以很好地保持掩密图像的质量,而且对于信息量估计法、RS分析法以及GPC分析法等掩密分析都具有很好的抵抗性。
Information hiding is an information security technology of secretly embedding information into digital multimedia, such as image, video and audio signals, without changing the perceptual quality of the cover data. An LSB steganographic method in still images based on gray value diffusion operation is proposed. The cover-image firstly was processed by the gray value diffusion operation based on chaotic mapping, then using the LSB method, the information was embedded in the diffused gray value, and the stego-image has gained by adverse operation. Experimental results show that the proposed method can preserve good steganographic image quality and has a good performance in resisting to information quantity estimation, RS and GPC steganalysis method.
出处
《重庆邮电大学学报（自然科学版）》
2008年第6期758-762,共5页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
关键词
信息隐藏
掩密术
掩密分析
灰度值扩散
LSB
information hiding
steganography
steganalysis
grey value diffusion
least significant bit （LSB）
