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A Novel Steganography Algorithm Based on Instance Segmentation

查看全文 作  者:Ruohan [1,2]Meng;Qi [1,2]Cui;Zhili [1,2]Zhou;Chengsheng [1,2,3]Yuan;Xingming [1,2]Sun 高影响力作者 机构地区:[1]School of Computer and Software,Nanjing University of Information Science and Technology,Nanjing,210044,China;[2]Jiangsu Engineering Centre of Network Monitoring,Nanjing,210044,China;[3]Department of Electrical and Computer Engineering,University of Windsor,Windsor,Canada高影响力机构 出  处:《Computers, Materials & Continua》索引2020年第4期,共14页高影响力期刊 基  金:This work is supported by the National Key R&D Program of China under grant 2018YFB1003205;by the National Natural Science Foundation of China under grant U1836208,U1536206,U1836110,61602253,61672294;by the Jiangsu Basic Research Programs-Natural Science Foundation under grant numbers BK20181407;by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)fund;by the Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET)fund,China. 摘  要:Information hiding tends to hide secret information in image area where is rich texture or high frequency,so as to transmit secret information to the recipient without affecting the visual quality of the image and arousing suspicion.We take advantage of the complexity of the object texture and consider that under certain circumstances,the object texture is more complex than the background of the image,so the foreground object is more suitable for steganography than the background.On the basis of instance segmentation,such as Mask R-CNN,the proposed method hides secret information into each object's region by using the masks of instance segmentation,thus realizing the information hiding of the foreground object without background.This method not only makes it more efficient for the receiver to extract information,but also proves to be more secure and robust by experiments. 关 键 词:STEGANOGRAPHY object detection mask R-CNN irregular region
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