当前位置>主页 > 期刊在线 > 计算机技术 >

计算机技术2020年3期

用于医学图像篡改检测的可逆信息隐藏方法
张鸿超
(广东工业大学 信息工程学院,广东 广州 510006)

摘  要:为改善医学图像视觉效果和提升图像检测篡改的能力,该文提出一种应用在医学图像上检测篡改的可逆信息隐藏方法。首先,分析医学图像局部纹理复杂度并对局部复杂度分类;然后,根据不同局部复杂度嵌入隐秘信息;最后,在医学图像的背景区中嵌入哈希验证码以检测医学图像是否被恶意篡改。实验结果表明,提出的方法能够增强图像对比度,检测图像是否遭受过篡改,并且较准确地标识出篡改图像的区域。


关键词:可逆信息隐藏;视觉效果;哈希码;篡改检测



中图分类号:TP309.7         文献标识码:A         文章编号:2096-4706(2020)03-0055-05


Reversible Data Hiding Method for Enhancing Medical Image Contrast and Tampering Detection

ZHANG Hongchao

(School of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China)

Abstract:In order to improve the visual effect of the medical image enhance the ability of medical image to detect tampering,a reversible data hiding method is proposed for tamper detection on medical images. Firstly,analyze the local complexity of medical image to classify the local complexity. Secondly,embed secret data based on different local complexity. Finally,embed hash authentication code in the background of the medical image to detect if the medical image has maliciously been tampered with. The experimental results show that the proposed method can enhance image contrast,detect whether the image has been tampered,and identify the tampered image area accurately.

Keywords:reversible data hiding;visual effect;hash code;tamper detection


参考文献:

[1] NI Z C,SHI Y Q,ANSARI N,et al. Reversible data hiding [J].IEEE Transactions on Circuits and Systems for Video Technology,2006,16(3):354-362.

[2] GAO G Y,WAN X D,YAO S M,et al. Reversible data hiding with contrast enhancement and tamper localization for medical images [J].Information Sciences,2017,385-386:250-265.

[3] OTSUN. A Threshold Selection Method from Gray-Level Histograms [J].IEEE Transactions on Systems,Man,and Cybernetics,2007,9(1):62-66.

[4] National Biomedical Imaging Archive(NBIA) [EB/OL].[2019-11-30].http://wiki.nci.nih.gov/display/NBIA/.

[5] HUYNH-THU Q,GHANBARI M. Scope of validity of PSNR in image/video quality assessment [J].Electronics Letters,2008,44(13):800.


作者简介:张鸿超(1994.05-),男,汉族,广东清远人,在读研究生,研究方向:图像处理、信息隐藏。