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自适应高容量医学图像可逆数据隐藏算法; Adaptive high-capacity reversible data hiding algorithm for medical images
黄斌 ; 史亮 ; 邓小鸿 ; 陈志刚
2012
关键词可逆数据隐藏 医学图像 整数变换 最低有效位 感兴趣区域 reversible data hiding medical image integer transform Least Significant Bit(LSB) Region of Interest(ROI)
英文摘要提出了一种新的医学图像无损数据隐藏算法,根据医学图像特点,将隐秘信息分别嵌入在感兴趣区域和非感兴趣区域中。在非感兴趣区域中,采用自适应整数变换方法增大嵌入容量并控制失真;在感兴趣区域,采用最低有效位替换方法控制水印图像质量。实验结果表明,算法的嵌入容量在1.2 bPP到1.7 bPP之间,而峰值信噪比保持在43 db左右。与现有相关算法相比,嵌入容量具有明显优势并保持较高的图像质量。另外,本方法计算复杂度低,能方便应用于实际的医学信息系统中。; A new reversible data hiding algorithm for medical images was proposed.The hidden information was embedded into Region of Interest(ROI) and non-interest respectively.In ROI,an adaptive integer transform scheme was employed to enhance the embedding capacity and control distortions.And in Region of Non-Interest(RONI),the classical Least Significant Bit(LSB) method was used to keep the marked image's quality.The experimental results show that,compared with previous works,the performance of the proposed method has been significantly improved in terms of capacity and image quality.The proposed method's embedding capacity is between 1.2 bpp and 1.7 bpp,while the Peak Signal-to-Noise Ratio(PSNR) can maintain the 43 dB or so.Moreover,the proposed method with high run efficiency can be applied into the practical hospital information system.; 国家自然科学基金资助项目(61103202);国家重点实验室2011年度开放基金资助项目(SKLST201113);福建星火科技项目(2010S0017);莆田市科技项目(2011G04-2)
语种zh_CN
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/118799]  
专题软件学院-已发表论文
推荐引用方式
GB/T 7714
黄斌,史亮,邓小鸿,等. 自适应高容量医学图像可逆数据隐藏算法, Adaptive high-capacity reversible data hiding algorithm for medical images[J],2012.
APA 黄斌,史亮,邓小鸿,&陈志刚.(2012).自适应高容量医学图像可逆数据隐藏算法..
MLA 黄斌,et al."自适应高容量医学图像可逆数据隐藏算法".(2012).
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