摘要
提出了一种非加性失真的二值图像隐写方法,该方法对载体图像进行分割,生成两张子图,通过传递影响因子更新失真,并使用最小化失真隐写编码实现消息嵌入。相较于固定失真不变的加性失真隐写方法,所提方法结合了二值图像只有黑色和白色两种像素的特性,使其能够捕捉像素点间修改的相关性,实现动态修改失真,从而提高了二值图像隐写的视觉质量和隐写安全性。
A non-additive distortion binary image steganography method was proposed which divided the cover image into two sub cover images,updated the distortion through delivering influence factor,and used the minimizing distortion codes to achieve message embedding.Compared with the previous additive distortion steganography methods with fixed distortion,the proposed method combined the characteristics of binary images with only black and white pixels.Hence,it facilitated the correlation capture of pixel points and dynamic modification of distortion,improving the visual quality and steganography security of the binary image steganography.
作者
程宇翔
张卫明
李伟祥
俞能海
CHENG Yuxiang;ZHANG Weiming;LI Weixiang;YU Nenghai(CAS Key Laboratory of Electro-magnetic Space Information,University of Science and Technology of China,Hefei 230001,China;School of Cyberspace Science and Technology,University of Science and Technology of China,Hefei 230001,China)
出处
《网络与信息安全学报》
2021年第5期49-56,共8页
Chinese Journal of Network and Information Security
基金
国家自然科学基金(U1636201,62002334)
安徽省自然科学基金(2008085QF296)。
关键词
隐写
二值图像
分层嵌入
非加性失真
steganography
binary image
layered embedding
non-additive distortion