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作 者:Xiaorui Zhang Wenfang Zhang Wei Sun Tong Xu Sunil Kumar Jha
机构地区:[1]Jiangsu Engineering Center of Network Monitoring,Engineering Research Center of Digital Forensics,Ministry of Education,School of Computer and Software,Nanjing University of Information Science&Technology,Nanjing,210044,China [2]Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Nanjing University of Information Science&Technology,Nanjing,210044,China [3]IT Fundamentals and Education Technologies Applications,University of Information Technology and Management in Rzeszow,Rzeszow,100031,Poland
出 处:《Computers, Materials & Continua》2020年第9期1435-1452,共18页计算机、材料和连续体(英文)
基 金:This work was supported,in part,by the National Nature Science Foundation of China under grant numbers 61502240,61502096,61304205,61773219;in part,by the Natural Science Foundation of Jiangsu Province under grant numbers BK20191401;in part,by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)fund.
摘 要:In the current dire situation of the corona virus COVID-19,remote consultations were proposed to avoid cross-infection and regional differences in medical resources.However,the safety of digital medical imaging in remote consultations has also attracted more and more attention from the medical industry.To ensure the integrity and security of medical images,this paper proposes a robust watermarking algorithm to authenticate and recover from the distorted medical images based on regions of interest(ROI)and integer wavelet transform(IWT).First,the medical image is divided into two different parts,regions of interest and non-interest regions.Then the integrity of ROI is verified using the hash algorithm,and the recovery data of the ROI region is calculated at the same time.Also,binary images with the basic information of patients are processed by logistic chaotic map encryption,and then the synthetic watermark is embedded in the medical carrier image using IWT transform.The performance of the proposed algorithm is tested by the simulation experiments based on the MATLAB program in CT images of the lungs.Experimental results show that the algorithm can precisely locate the distorted areas of an image and recover the original ROI on the basis of verifying image reliability.The maximum peak signal to noise ratio(PSNR)value of 51.24 has been achieved,which proves that the watermark is invisible and has strong robustness against noise,compression,and filtering attacks.
关 键 词:Digital watermarking LOGISTIC hash algorithm ROI IWT
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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