基于信息隐藏的图像感兴趣区域保护算法

doi:10.16088/j.issn.1001-6600.2016.02.010

广西师范大学学报（自然科学版） ›› 2016, Vol. 34 ›› Issue (2): 67-73.doi: 10.16088/j.issn.1001-6600.2016.02.010

基于信息隐藏的图像感兴趣区域保护算法

俞春强^1,2, 付睿³, 陈艳^1,2, 雷芸^2,4, 张显全^1,2,3, 王晓云⁵

1.广西师范大学网络中心, 广西桂林541004;
2.桂林电子科技大学广西信息科学实验中心,广西桂林541004;
3. 广西师范大学计算机科学与信息工程学院, 广西桂林541004;
4. 广西民族大学预科教育学院,广西南宁530006;
5.长江师范学院计算机工程学院,重庆408100)

收稿日期:2015-09-10 出版日期:2016-06-25 发布日期:2018-09-14
通讯作者: 张显全(1964—), 男, 重庆人, 广西师范大学教授。E-mail:zxq6622@163.com
基金资助:
国家自然科学基金资助项目(61363034,61300109,61562007);广西自然科学基金资助项目(2012GXNSFBA053166,2015GXNSFDA139040);教育部“春晖计划”合作科研项目(Z2015149);重庆市涪陵区科技计划项目(FLKJ,2012ABA1056);广西信息科学实验中心项目(20130204);广西教育厅高校科研项目(YB2014048,LX2014056,LX2014115,KY2015LX006);广西高校云计算与复杂系统重点实验室项目(15202);广西师范大学校级项目青年课题

Protecting Method of Regions of Interest of ImageBased on Information Hiding

YU Chunqiang^1,2, FU Rui³, CHEN Yan^1,2, LEI Yun^2,4, ZHANG Xianquan^1,2,3, WANG Xiaoyun⁵

1. Network Center, Guangxi Normal University, Guilin Guangxi 541004, China;
2. Guangxi Experiment Center ofInformation Science,Guilin University of Electronic Technology, Guilin Guangxi 541004, China;
3. College ofComputer Science and Information Technology, Guangxi Normal University, Guilin Guangxi 541004, China;
4.School of Pre-university, Guangxi University for Nationalities, Nanning Guangxi 530006, China;
5.College of Computer Engineering, Yangtze Normal University, Chongqing 408100, China

Received:2015-09-10 Online:2016-06-25 Published:2018-09-14

摘要/Abstract

摘要： 本文提出一种基于信息隐藏的图像感兴趣区域保护算法。该算法首先通过计算图像的显著图,对显著图进行分割,得到图像的感兴趣区域。然后求出感兴趣区域最小的外接矩形,外接矩形区域作为图像的保护区域。将保护区域内像素转换成二进制数据,根据二进制数据位数和图像的隐藏容量确定隐藏的备份数,将保护区域信息的多个备份隐藏在图像中,实现对图像感兴趣区域的保护。实验效果表明,当图像的保护区域被破坏时,通过提取隐藏的保护区域信息能较好地恢复图像。

关键词: 信息隐藏, 显著图, 感兴趣区域, 信息安全

Abstract: A protecting method of regions of interest(ROIs) of image based on information hiding is proposed. Firstly, by calculating the saliency map of the image, the saliency map is segmented to obtain the ROIs of the image. Secondly, the minimum enclosing rectangles of ROIs are calculated and regions of the minimum enclosing rectangles are used as image protection areas. Thirdly, the pixels in protected regions of an image are transformed into binary data and the number of hidden backups is determined according to the binary data bits and the hiding capacity of the image. Finally, multiple backups of protecting regions are embedded in original image to achieve protection of ROIs. It is shown, by experimental results, that the hidden protected regions can be extracted to restore image when protected regions of an image are destroyed.

Key words: information hiding, saliency map, ROIs, information security

中图分类号:

TN919. 81

俞春强, 付睿, 陈艳, 雷芸, 张显全, 王晓云. 基于信息隐藏的图像感兴趣区域保护算法[J]. 广西师范大学学报（自然科学版）, 2016, 34(2): 67-73.

YU Chunqiang , FU Rui , CHEN Yan , LEI Yun , ZHANG Xianquan , WANG Xiaoyun. Protecting Method of Regions of Interest of ImageBased on Information Hiding[J]. Journal of Guangxi Normal University(Natural Science Edition), 2016, 34(2): 67-73.

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基于信息隐藏的图像感兴趣区域保护算法

Protecting Method of Regions of Interest of ImageBased on Information Hiding

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