Reversible data hiding method based on texture partition for medical images

doi:10.11772/j.issn.1001-9081.2017122885

Journal of Computer Applications ›› 2018, Vol. 38 ›› Issue (8): 2293-2300.DOI: 10.11772/j.issn.1001-9081.2017122885

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Reversible data hiding method based on texture partition for medical images

CAI Xue, YANG Yang, XIAO Xingxing

School of Electronics and Information Engineering, Anhui University, Hefei Anhui 230039, China

Received:2017-12-11 Revised:2018-01-26 Online:2018-08-10 Published:2018-08-11
Supported by:
This work is partially supported by the National Natural Science Foundation of China (61502007), the Natural Science Foundation of Anhui Province (1608085MF125), the China Postdoctoral Science Foundation (2015M582015), the Doctoral Scientific Research Foundation of Anhui University (J01001319), the Backbone Teacher Training Program of Anhui University.

基于纹理度划分的医学图像可逆信息隐藏方法

才雪, 杨杨, 肖星星

安徽大学电子信息工程学院, 合肥 230039

通讯作者: 杨杨
作者简介:才雪(1993-),女,山东济宁人,硕士研究生,主要研究方向:可逆信息隐藏、图像质量评价;杨杨(1980-),女,安徽合肥人,副教授,博士,主要研究方向:可逆信息隐藏、图像质量评价;肖星星(1994-),女,山东聊城人,硕士研究生,主要研究方向:加密域的可逆信息隐藏。
基金资助:
国家自然科学基金资助项目（61502007）；安徽自然科学基金面上资助项目（1608085MF125）；中国博士后科学基金资助项目（2015M582015）；安徽大学博士科研启动基金资助项目（J01001319）；安徽大学骨干教师培养基金资助项目。

Abstract

Abstract: To solve the problem that contrast enhancement effect is affected by the embedding rate in most existing Reversible Data Hiding (RDH) algorithms, a new RDH method based on texture partition for medical images was proposed. Firstly, the contrast of an image was stretched to enhance image contrast, and then according to the characteristics of medical image texture, the medical image was divided into high and low texture levels. The key partion of the medical image mainly had high texture level. To enhance the contrast of high texture level further and guarantee the infomation embedding capacity, different embedding processes were adopted for high and low texture levels. In order to compare the effect of contrast enhancement between the proposed method and other RDH algorithms for medical images, No-Reference Contrast-Distorted Images Quality Assessment (NR-CDIQA) was adopted as the evaluation standards. The experimental results show that the marked images processed by the proposed method can get better NR-CDIQA and contrst enhancement in different embedding rate.

Key words: medical image, Reversible Data Hiding (RDH), contrast enhancement, high embedding rate, texture degree

摘要： 针对目前具有对比度增强效果的可逆信息隐藏（RDH）算法大多受到嵌入率的影响，未能实现较好的对比度增强效果的问题，提出一种基于纹理度划分的医学图像可逆信息隐藏方法。首先，通过对比度拉伸的方法实现医学图像对比度增强；然后，再利用医学图像纹理度的自身特点，将医学图像划分为高、低两类纹理度等级，其中高纹理度等级构成医学图像的关键部分；最后，为了进一步增强高纹理度等级的对比度并保证信息嵌入率，对不同的纹理度等级像素采用不同的嵌入方法。为了与其他具有对比度增强效果的医学图像可逆信息隐藏算法比较载密图像的对比度增强效果，采用了针对对比度失真的无参考图像质量评价标准（NR-CDIQA）作为实验客观依据。实验结果表明，在不同嵌入率下，使用所提方法的载密图像的NR-CDIQA值更高，对比度增强效果更好。

关键词: 医学图像, 可逆信息隐藏, 对比度增强, 高嵌入率, 纹理度

CLC Number:

CAI Xue, YANG Yang, XIAO Xingxing. Reversible data hiding method based on texture partition for medical images[J]. Journal of Computer Applications, 2018, 38(8): 2293-2300.

才雪, 杨杨, 肖星星. 基于纹理度划分的医学图像可逆信息隐藏方法[J]. 计算机应用, 2018, 38(8): 2293-2300.

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Reversible data hiding method based on texture partition for medical images

基于纹理度划分的医学图像可逆信息隐藏方法

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