摘要
针对数据隐藏算法嵌入容量有限的问题,提出一种新的插值方法,将其应用到数据隐藏领域中,并给出一种基于改进插值的可逆数据隐藏算法.该算法在信息嵌入时,先用文中提出的插值方法对原始宿主图像进行扩展,扩展时,每个扩展像素以4个宿主像素点作为参考,通过计算得出均值,再将其分配到待扩展的位置上,信息嵌入后可以无损地进行信息提取和图像的恢复.实验结果表明,该数据隐藏算法在嵌入容量、图像视觉质量方面均取得很好的效果,相比其他的数据隐藏算法,最大嵌入容量提高了24.78%-39.29%,最大藏量下的信噪比均保持在39 dB以上.
A new interpolation method was proposed in this paper aiming to improve the low embedding capacity for data hiding, followed with a reversible data hiding algorithm based on the improved interpolation. Before embedding secret data, this algorithm first enlarged the cover image using the proposed interpolation method. In the scaling-up process, then, pixels scaled-up were calculated by full use of four pixels in cover image so that more neighboring pixel values were referenced to calculate a mean value that was to be allocated. The cover image was recovered untainted after data extraction. This method has a low-time complexity and high-calculation speed. Experimental results show that the proposed method has a large embedding capacity and a good visual quality. Its maximum capacity increases 24. 78-39. 29 percent and the PSNR is higher than 39 dB compared with other data hiding methods.
出处
《厦门理工学院学报》
2014年第5期67-71,共5页
Journal of Xiamen University of Technology
基金
厦门理工学院科研启动项目(YKJ12024R)
厦门理工学院教改项目(JGY201318
JGY201328)
关键词
插值
数据隐藏
邻接均值
interpolation
data hiding
neighbor mean value