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

Journal of Guangxi Normal University(Natural Science Edition) ›› 2016, Vol. 34 ›› Issue (2): 67-73.doi: 10.16088/j.issn.1001-6600.2016.02.010

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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

Abstract

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

CLC Number:

TN919. 81

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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