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A Multi-Watermarking Algorithm for Medical Images Using Inception V3 and DCT

Computers, Materials & Continua 2023年第1期74卷 1279-1302页

作者： Yu Fan Jingbing Li Uzair Aslam Bhatti Chunyan Shao cheng Gong Jieren cheng yenwei chen School of Information and Communication Engineering Hainan UniversityHaikou570100China State Key Laboratory of Marine Resource Utilization in the South China Sea Hainan UniversityHaikou570100China School of Computer Science and Technology Hainan UniversityHaikou570100China Graduate School of Information Science and Engineering Ritsumeikan UniversityKyoto5258577Japan Hainan Blockchain Technology Engineering Research Center Hainan UniversityHaikou570100China TJ-YZ School of Network Science Haikou University of EconomicsHaikou571127China

Medical images are a critical component of the diagnostic process for *** the quality of medical photographs is essential to the accuracy of a physician’s diagnosis,they must be encrypted due to the characteristics of digital storage and information leakage associated with medical *** watermark embedding algorithm embeds the watermark information into the medical image,which reduces the quality of the medical image and affects the physicians’judgment of patient *** addition,watermarks in this method have weak robustness under high-intensity geometric attacks when the medical image is attacked and the watermarks are *** paper proposes a novel watermarking algorithm using the convolutional neural networks(CNN)Inception V3 and the discrete cosine transform(DCT)to address above mentioned ***,the medical image is input into the Inception V3 network,which has been structured by adjusting parameters,such as the size of the convolution kernels and the typical architecture of the convolution ***,the coefficients extracted from the fully connected layer of the network are transformed by DCT to obtain the feature vector of the medical *** last,the watermarks are encrypted using the logistic map system and hash function,and the keys are stored by a third *** encrypted watermarks and the original image features are performed logical operations to realize the embedding of *** the experimental section,multiple watermarking schemes using three different types of watermarks were implemented to verify the effectiveness of the three proposed *** NC values for all the images are more than 90%accurate which shows the robustness of the *** experimental results demonstrate the robustness under both conventional and high-intensity geometric attacks of the proposed algorithm.

关键词： Inception V3 multi-watermarking DCT watermark encryption robustness

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A Robust Zero-Watermarking Based on SIFT-DCT for Medical Images in the Encrypted Domain

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Computers, Materials & Continua 2019年第7期61卷 363-378页

作者： Jialing Liu Jingbing Li yenwei chen Xiangxi Zou Jieren cheng Yanlin Liu Uzair Aslam Bhatti College of Information Science and Technology Hainan UniversityHaikou570228China State key Laboratory of Marine Resource Utilization in the South China Sea Hainan UniversityHaikou570228China Graduate School of Information Science and Engineering Ritsumeikan UniversityShigaJapan

Remote medical diagnosis can be realized by using the Internet,but when transmitting medical images of patients through the Internet,personal information of patients may be *** at the security of medical information system and the protection of medical images,a novel robust zero-watermarking based on SIFT-DCT(Scale Invariant Feature Transform-Discrete Cosine Transform)for medical images in the encrypted domain is ***,the original medical image is encrypted in transform domain based on Logistic chaotic sequence to enhance the concealment of original medical ***,the SIFT-DCT is used to extract the feature sequences of encrypted medical ***,zero-watermarking technology is used to ensure that the region of interest of medical images are not ***,the robust of the algorithm is evaluated by the correlation coefficient between the original watermark and the attacked watermark.A series of attack experiments are carried out on this method,and the results show that the algorithm is not only secure,but also robust to both traditional and geometric attacks,especially in clipping attacks.

关键词： Robustness CT Image zero-watermarking SIFT-DCT encrypted domain

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基于PCA和ICA的糖基化位点的预测和分析

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计算机与应用化学 2011年第5期28卷 565-568页

作者：王楚正谭晓风陈延伟中南林业科技大学计算机与信息工程学院湖南长沙410004 中南林业科技大学林学院湖南长沙410004 立命馆大学信息工程学院

为了提高糖基化位点的识别率,提出主成分分析(PCA)和独立成分分析(ICA)相结合的新方法对O-糖基化位点进行预测和分析。以窗口长度为51的蛋白质序列为研究对象,采用稀疏编码方案,首先利用PCA算法对蛋白质序列进行去相关预处理,以降低原... 详细信息

为了提高糖基化位点的识别率,提出主成分分析(PCA)和独立成分分析(ICA)相结合的新方法对O-糖基化位点进行预测和分析。以窗口长度为51的蛋白质序列为研究对象,采用稀疏编码方案,首先利用PCA算法对蛋白质序列进行去相关预处理,以降低原始蛋白质序列的维数。然后利用ICA算法进行训练,提取特征向量构建子空间。测试序列投影到每一类子空间,计算测试序列和每类子空间重构序列的距离,根据距离大小确定所属的类。实验表明,提出的新方法有较高的预测性能。

关键词：糖基化位点主成分分析独立成分分析位置概率函数

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