Region-based lossless data hiding with high capacity for medical images

Xiao-hong DENG; Zhi-gang CHEN; Di-qing LIANG; Yi-min MAO

doi:10.11959/j.issn.1000-436x.2015021

您当前的位置：

首页 >

文章列表页 >

Region-based lossless data hiding with high capacity for medical images

Academic paper | 更新时间：2024-06-05

- Region-based lossless data hiding with high capacity for medical images
- Journal on Communications Vol. 36, Issue 1, Pages: 189-198(2015)
- 作者机构：
  
  1. 江西理工大学应用科学学院，江西赣州 341000
  2. 中南大学信息科学与工程学院，湖南长沙 410083
  3. 中南大学移动医疗实验室，湖南长沙410083
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61103202);The National Natural Science Foundation of China(61272494);The Natural Science Foundation of Jiangxi Province(20122BAB201045);Research Project of Jiangxi University of Science ＆Technology(jxxj12149)
- DOI：10.11959/j.issn.1000-436x.2015021
  CLC： TP391
- Online First：2015-01，
  
  Published：25 January 2015
- 稿件说明：
移动端阅览
Xiao-hong DENG, Zhi-gang CHEN, Di-qing LIANG, et al. Region-based lossless data hiding with high capacity for medical images[J]. Journal on Communications, 2015, 36(1): 189-198.
DOI：

Xiao-hong DENG, Zhi-gang CHEN, Di-qing LIANG, et al. Region-based lossless data hiding with high capacity for medical images[J]. Journal on Communications, 2015, 36(1): 189-198. DOI： 10.11959/j.issn.1000-436x.2015021.

摘要

针对医学图像的分区域典型特征，提出一种基于区域和直方图平移的高容量无损信息隐藏方法。本方法用最大类间距分割法求得原始图像的前景区域，再用聚合多边形逼近和图像拟合法得到其数据嵌入区域。在数据嵌入过程中，提出利用差值直方图循环平移和基于编码的直方图平移方法分别在前景和背景区域嵌入数据，提高了原始直方图平移方法容量和解决了溢出问题。实验结果表明该方法总的嵌入容量可达1 bit/pixel以上，并且隐秘图像质量在40 dB左右，适用于具有区域特征的质量敏感图像的大容量信息隐藏。

Abstract

In view of the significant regional features of medical images

a new high capacity lossless data hiding method based on region and histogram shifting was presented.Firstly

the presented method utilized segmentation method of the maximum class separation distance to get the foreground region of medical images

and then used the polymeric polygonal approximation and image fitting algorithm to get the embedding region of region foreground.In the embedding procedure

the difference histogram circular shifting method and the code-based histogram shifting method were presented to embed hidden data in foreground and background region respectively

which improved the limit embedding capacity and resolved the overflow and underflow in traditional histogram shifting method.Experimental results show that the proposed method achieves high embedding capacity with 1 bit/pixel and stego-image quality about 40 dB.The presented method can be applied to the quality of sensitive image's large capacity information hiding with regional feature.

关键词

Keywords

references

HU J K , CHEN H H , HOU T W . A hybrid public key infrastructure solution(HPKI) for HIPAA privacy/security regulations [J ] . Computer Standards ＆ Interfaces , 2010 , 32 ( 5-6 ): 274 - 280 .

PENG F , LEI Y Z , LONG M , et al . A reversible watermarking scheme for two-dimensional CAD engineering graphics based on improved difference expansion [J ] . Computer-Aided Design , 2011 , 43 ( 8 ): 1018 - 1024 .

曾骁，陈真勇，陈明等．基于零系数索引的可逆图像水印 [J ] ．计算机研究与发展， 1304 , 47 ( 7 ): 1070 - 1312 .

ZENG X , CHEN Z Y , CHEN M , et al . Invertible image watermarking based on zero coefficient index [J ] . Journal of Computer Research and Development , 1304 , 47 ( 7 ): 1070 - 1312 .

YU A M , WU K , WANG C M . A distortion-free data hiding scheme for high dynamic range images [J ] . Displays , 2011 , 32 ( 5 ): 225 - 236 .

DENG X H , CHEN Z G , ZENG F , et al . Authentication and recovery of medical diagnostic image using dual reversible digital watermarking [J ] . Journal of Nanoscience and Nanotechnology , 2013 , 13 ( 3 ): 2099 - 2107 .

张显全，谢绍敏，王晓云等．基于相邻像素的可逆大容量信息隐藏算法 [J ] ．电子科技大学学报， 2012 , 41 ( 4 ): 491 - 495 .

ZHANG X Q , XIE S M , WANG X Y , et al . High-capacity reversible data hiding based on neighboring pixels [J ] . Journal of University of Electronic Science and Technology of China , 2012 , 41 ( 4 ): 491 - 495 .

CHEN C C , TSAI Y H . Adaptive reversible image watermarking scheme [J ] . The Journal of Systems and Software , 2011 , 84 ( 3 ): 428 - 434 .

张秋余，孙媛，晏燕．基于分块自适应压缩感知的可逆水印算法 [J ] ．电子与信息学报， 2013 , 35 ( 4 ): 797 - 804 .

ZHANG Q Y , SUN Y , YAN Y . A reversible watermarking algorithm based on block adaptive compressed sensing [J ] . Journal of Electronic＆ Information Technology , 2013 , 35 ( 4 ): 797 - 804 .

GUO X T , ZHUANG T G . A region-based lossless watermarking scheme for enhancing security of medical data [J ] . Journal of Digital Imaging , 2009 , 22 ( 1 ): 53 - 64 .

DUAN C J , MA J F , ZHANG Y B , et al . Energy conduction model and its application in medical image segmentation [J ] . Journal of Software , 2009 , 20 ( 5 ): 1106 - 1115 .

GE Q , XIAO L , ZHANG J , WEI Z H . An improved region-based model with local statistical features for image segmentation [J ] . Pattern Recognition , 2012 , 45 ( 4 ): 1578 - 1590 .

TAN C K , NG J C , XU X T , et al . Security protection of DICOM medical images using dual-layer reversible watermarking with tamper detection capability [J ] . Journal of Digital Imaging , 2011 , 24 ( 3 ): 528 - 540 .

HONG W , CHEN T S . A local variance-controlled reversible data hiding method using prediction and histogram-shifting [J ] . The Journal of Systems and Software , 2010 , 83 ( 12 ): 2653 - 2663 .

黄斌，史量，邓小鸿等．自适应高容量医学图像可逆数据隐藏算法 [J ] ．计算机应用， 2012 , 32 ( 10 ): 2779 - 2782 .

HUANG B , SHI L , DENG X H , et al . Adaptive high-capacity reversible data hiding algorithm for medical images [J ] . Journal of Computer Applications , 2012 , 32 ( 10 ): 2779 - 2782 .

Views

2215

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Design of periodic deniable ring signcryption scheme based on SM9

Lightweight facial authentication scheme based on the SM4 algorithm for privacy protection

Selective aggregation scheme for multi-dimensional data with type-based verification

Identity privacy and security protection scheme for charitable donations based on group signatures

Privacy-preserving task matching scheme for crowdsourcing

Related Author

Zhang Yanshuo

Kong Jiayin

Zhou Xingyu

Xie Rongna

Qin Xiaohong

ZHANG Xucheng

XIONG Ling

LIU Zhicai

Related Institution

Department of Cryptology Science and Technology, Beijing Electronic Science & Technology Institute

School of Computer and Software Engineering, Xihua University

School of Information Science, Beijing Language and Culture University

School of Computer Science and Technology, Guizhou University

State Key Laboratory of Public Big Data, Ministry of Education

AI问答

⁰