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Robust zero-watermarking algorithm based on discrete wavelet transform and daisy descriptors for encrypted medical image

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 40-53页

作者： Yiyi Yuan jingbing li Jing liu Uzair Aslam Bhatti Zilong liu Yen-wei Chen School of Information and Communication Engineering Hainan UniversityHaikouChina Research Center for Healthcare Data Science Zhejiang LabHangzhouChina Graduate School of Information Science and Engineering Ritsumeikan University ShigaJapan

In the intricate network environment,the secure transmission of medical images faces challenges such as information leakage and malicious tampering,significantly impacting the accuracy of disease diagnoses by medical *** address this problem,the authors propose a robust feature watermarking algorithm for encrypted medical images based on multi-stage discrete wavelet transform(DWT),Daisy descriptor,and discrete cosine transform(DCT).The algorithm initially encrypts the original medical image through DWT-DCT and Logistic ***,a 3-stage DWT transformation is applied to the encrypted medical image,with the centre point of the LL3 sub-band within its low-frequency component serving as the sampling *** Daisy descriptor matrix for this point is then ***,a DCT transformation is performed on the Daisy descriptor matrix,and the low-frequency portion is processed using the perceptual hashing algorithm to generate a 32-bit binary feature vector for the medical *** scheme utilises cryptographic knowledge and zero-watermarking technique to embed watermarks without modifying medical images and can extract the watermark from test images without the original image,which meets the basic re-quirements of medical image *** embedding and extraction of water-marks are accomplished in a mere 0.160 and 0.411s,respectively,with minimal computational *** results demonstrate the robustness of the algorithm against both conventional attacks and geometric attacks,with a notable performance in resisting rotation attacks.

关键词： daisy descriptor DCT DWT encryption domain medical image zero-watermarking

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考虑水库泄水影响的逐网格汇流演算方法

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河海大学学报（自然科学版） 2024年第3期52卷 34-41页

作者：韩文彪姚成李致家张锦堂李京兵河海大学水文水资源学院江苏南京210098 安徽省水文局安徽合肥230022

为将网格新安江(Grid-XAJ)模型更好地应用于受水库泄水影响地区的洪水模拟及预报,以横排头流域为研究区域,基于水库真实地理位置,利用分段马斯京根(MK)法、逐网格MK法、逐网格Muskingum-Cunge-Todini(MCT)法对比分析水库泄水对模型汇流... 详细信息

为将网格新安江(Grid-XAJ)模型更好地应用于受水库泄水影响地区的洪水模拟及预报,以横排头流域为研究区域,基于水库真实地理位置,利用分段马斯京根(MK)法、逐网格MK法、逐网格Muskingum-Cunge-Todini(MCT)法对比分析水库泄水对模型汇流计算的影响。结果表明:3种方法对洪峰的模拟情况均较好,率定期与验证期全部洪水的平均合格率均为100%;逐网格MK法与分段MK法全部洪水的平均径流深合格率均为76.9%,小于逐网格MCT法(84.6%);与分段MK法相比,逐网格MCT法与逐网格MK法可以反映上游水库泄水对汇流过程中流量在流域中时空分布的影响;逐网格MCT法在逐网格MK法的基础上进一步考虑了下垫面河道的真实情况;总体而言,逐网格MCT法对于受水库泄水影响流域的洪水预报具有较强的适应性和可靠性。

关键词：网格新安江模型水库蓄泄马斯京根法 Muskingum-Cunge-Todini法横排头流域

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大湖演算模型在裕溪河流域的适用性分析

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黑龙江科学 2024年第10期15卷 87-90页

作者：丁孟龙李京兵张涛张峰安徽省水文局合肥230001 长江水利委员会水文局武汉430010 流域水模拟与预报调度智能技术创新中心武汉430010 安徽水利水电职业技术学院资源与环境工程学院合肥230001

为探究大湖演算模型在裕溪河流域是否适用,采用大湖模型和误差自回归模型,对2020年汛期裕溪河闸闸上水位一次涨水过程进行模拟研究,发现大湖模型对该流域的洪峰模拟精度较高,对水位的整体涨落过程预测较好,经过实时误差修正后,模型精度... 详细信息

为探究大湖演算模型在裕溪河流域是否适用,采用大湖模型和误差自回归模型,对2020年汛期裕溪河闸闸上水位一次涨水过程进行模拟研究,发现大湖模型对该流域的洪峰模拟精度较高,对水位的整体涨落过程预测较好,经过实时误差修正后,模型精度进一步得到提升。结果表明,大湖模型在裕溪河流域有一定的适用性,可为裕溪河流域今后防洪调度预报工作提供参考。

关键词：大湖演算模型裕溪河流域水位模拟

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Robust Watermarking Algorithm for Medical Images Based on Non-Subsampled Shearlet Transform and Schur Decomposition

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Computers, Materials & Continua 2023年第6期75卷 5539-5554页

作者： Meng Yang jingbing li Uzair Aslam Bhatti Chunyan Shao Yen-Wei Chen School of Information and Communication Engineering Hainan UniversityHaikou570228China State Key Laboratory of Marine Resource Utilization in the South China Sea Hainan UniversityHaikou570228China Graduate School of Information Science and Engineering Ritsumeikan UniversityKyoto5258577Japan

With the development of digitalization in healthcare,more and more information is delivered and stored in digital form,facilitating people’s lives *** the meanwhile,privacy leakage and security issues come along with *** watermarking can solve this problem *** protect the security of medical information and improve the algorithm’s robustness,this paper proposes a robust watermarking algorithm for medical images based on Non-Subsampled Shearlet Transform(NSST)and Schur ***,the low-frequency subband image of the original medical image is obtained by NSST and ***,the Schur decomposition of low-frequency blocks to get stable values,extracting the maximum absolute value of the diagonal elements of the upper triangle matrix after the Schur decom-position of each low-frequency block and constructing the transition matrix from ***,the mean of the matrix is compared to each element’s value,creating a feature matrix by combining perceptual hashing,and selecting 32 bits as the feature ***,the feature vector is exclusive OR(XOR)operated with the encrypted watermark information to get the zero watermark and complete registration with a third-party copyright certification *** data show that the Normalized Correlation(NC)values of watermarks extracted in random carrier medical images are above 0.5,with higher robustness than traditional algorithms,especially against geometric attacks and achieve watermark information invisibility without altering the carrier medical image.

关键词： Non-Subsampled Shearlet Transform(NSST) Schur decomposition perceptual hashing chaotic mapping zero watermark

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Robust Multi-Watermarking Algorithm for Medical Images Based on GoogLeNet and Henon Map

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Computers, Materials & Continua 2023年第4期75卷 565-586页

作者： Wenxing Zhang jingbing li Uzair Aslam Bhatti Jing liu Junhua Zheng Yen-Wei Chen School of Information and Communication Engineering Hainan UniversityHaikou570228China State Key Laboratory of Marine Resource Utilization in the South China Sea Hainan UniversityHaikou570228China Research Center for Healthcare Data Science Zhejiang LabHangzhou311100China Graduate School of Information Science and Engineering Ritsumeikan UniversityKusatsu525-8577Japan

The field of medical images has been rapidly evolving since the advent of the digital medical information ***,medical data is susceptible to leaks and hacks during *** paper proposed a robust multi-watermarking algorithm for medical images based on GoogLeNet transfer learning to protect the privacy of patient data during transmission and storage,as well as to increase the resistance to geometric attacks and the capacity of embedded watermarks of watermarking ***,a pre-trained GoogLeNet network is used in this paper,based on which the parameters of several previous layers of the network are fixed and the network is fine-tuned for the constructed medical dataset,so that the pre-trained network can further learn the deep convolutional features in the medical dataset,and then the trained network is used to extract the stable feature vectors of medical ***,a two-dimensional Henon chaos encryption technique,which is more sensitive to initial values,is used to encrypt multiple different types of watermarked private ***,the feature vector of the image is logically operated with the encrypted multiple watermark information,and the obtained key is stored in a third party,thus achieving zero watermark embedding and blind *** experimental results confirmthe robustness of the algorithm from the perspective ofmultiple types of watermarks,while also demonstrating the successful embedding ofmultiple watermarks for medical images,and show that the algorithm is more resistant to geometric attacks than some conventional watermarking algorithms.

关键词： Zero watermarks GoogLeNet medical image Henon map feature vector

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Zero Watermarking Algorithm for Medical Image Based on Resnet50-DCT

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Computers, Materials & Continua 2023年第4期75卷 293-309页

作者： Mingshuai Sheng jingbing li Uzair Aslam Bhatti Jing liu Mengxing Huang Yen-Wei Chen School of Information and Communication Engineering Hainan UniversityHaikou570228China State Key Laboratory of Marine Resource Utilization in the South China Sea Hainan UniversityHaikou570228China School of Computer Science and Technology Hainan UniversityHaikou570228China Research Center for Healthcare Data Science Zhejiang LabHangzhou311121China Graduate School of Information Science and Engineering Ritsumeikan UniversityKyoto5258577Japan

Medical images are used as a diagnostic tool, so protecting theirconfidentiality has long been a topic of study. From this, we propose aResnet50-DCT-based zero watermarking algorithm for use with medicalimages. To begin, we use Resnet50, a pre-training network, to draw out thedeep features of medical images. Then the deep features are transformedby DCT transform and the perceptual hash function is used to generatethe feature vector. The original watermark is chaotic scrambled to get theencrypted watermark, and the watermark information is embedded into theoriginal medical image by XOR operation, and the logical key vector isobtained and saved at the same time. Similarly, the same feature extractionmethod is used to extract the deep features of the medical image to be testedand generate the feature vector. Later, the XOR operation is carried outbetween the feature vector and the logical key vector, and the encryptedwatermark is extracted and decrypted to get the restored watermark;thenormalized correlation coefficient (NC) of the original watermark and therestored watermark is calculated to determine the ownership and watermarkinformation of the medical image to be tested. After calculation, most ofthe NC values are greater than 0.50. The experimental results demonstratethe algorithm’s robustness, invisibility, and security, as well as its ability toaccurately extract watermark information. The algorithm also shows goodresistance to conventional attacks and geometric attacks.

关键词： Medical images deep residual network resnet50-DCT privacy protection robustness security

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Robust Watermarking Algorithm for Medical Volume Data Based on Polar Cosine Transform and 3D-DCT

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Computers, Materials & Continua 2023年第6期75卷 5853-5870页

作者： Pengju Zhang jingbing li Uzair Aslam Bhatti Jing liu Yen-wei Chen Dekai li Lei Cao School of Information and Communication Engineering Hainan UniversityHaikou570100China State Key Laboratory of Marine Resource Utilization in the South China Sea Hainan UniversityHaikou570100China Research Center for Healthcare Data Science Zhejiang LabHangzhou311121China Graduate School of Information Science and Engineering Ritsumeikan UniversityKyoto5258577Japan

The amount of 3D data stored and transmitted in the Internet of Medical Things(IoMT)is increasing,making protecting these medical data increasingly ***,there are relatively few researches on 3D data ***,due to the particularity of medical data,strict data quality should be considered while protecting data *** solve the problem,in the field of medical volume data,we proposed a robust watermarking algorithm based on Polar Cosine Transform and 3D-Discrete Cosine Transform(PCT and 3D-DCT).Each slice of the volume data was transformed by PCT to obtain feature row vector,and then the reshaped three-dimensional feature matrix was transformed by *** on the contour information of the volume data and the detail information of the inner slice,the visual feature vector was obtained by applying the per-ceptual *** addition,the watermark was encrypted by a multi-sensitive initial value Sine and Piecewise linear chaotic Mapping(SPM)system,and embedded as a zero *** key was stored in a third *** the same experimental conditions,when the volume data is rotated by 80 degrees,cut 25%along the Z axis,and the JPEG compression quality is 1%,the Normalized Correlation Coefficient(NC)of the extracted watermark is 0.80,0.89,and 1.00 respectively,which are significantly higher than the comparison algorithm.

关键词： Volume data watermark zero watermark SPM PCT and 3D-DCT

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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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A Novel Robust Watermarking Algorithm for Encrypted Medical Image Based on DTCWT-DCT and Chaotic Map

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Computers, Materials & Continua 2019年第8期61卷 889-910页

作者： Jing liu jingbing li Jieren Cheng Jixin Ma Naveed Sadiq Baoru Han Qiang Geng Yang Ai College of Information Science and Technology Hainan UniversityHaikou570228China School of Computing and Mathematical Sciences Faculty of Liberal Arts and SciencesUniversity of GreenwichGreenwichLondonSE109LSUK Ocean College Zhejiang UniversityHangzhou310058China College of Medical Informatics Chongqing Medical UniversityChongqing400016China Faculty of Network Science Haikou University of EconomicsHaikou571127China

In order to solve the problem of patient information security protection in medical images,whilst also taking into consideration the unchangeable particularity of medical images to the lesion area and the need for medical images themselves to be protected,a novel robust watermarking algorithm for encrypted medical images based on dual-tree complex wavelet transform and discrete cosine transform(DTCWT-DCT)and chaotic map is proposed in this ***,DTCWT-DCT transformation was performed on medical images,and dot product was per-formed in relation to the transformation matrix and logistic *** transformation was undertaken to obtain encrypted medical ***,in the low-frequency part of the DTCWT-DCT transformation coefficient of the encrypted medical image,a set of 32 bits visual feature vectors that can effectively resist geometric attacks are found to be the feature vector of the encrypted medical image by using perceptual *** that,different logistic initial values and growth parameters were set to encrypt the watermark,and zero-watermark technology was used to embed and extract the encrypted medical images by combining cryptography and third-party *** proposed watermarking algorithm does not change the region of interest of medical images thus it does not affect the judgment of ***,the security of the algorithm is enhanced by using chaotic mapping,which is sensitive to the initial value in order to encrypt the medical image and the *** simulation results show that the pro-posed algorithm has good homomorphism,which can not only protect the original medical image and the watermark information,but can also embed and extract the watermark directly in the encrypted image,eliminating the potential risk of decrypting the embedded watermark and extracting *** with the recent related research,the proposed algorithm solves the contradiction between robustness and invisibility of the watermarking al

关键词： Encrypted medical images zero-watermarking DTCWT perceptual hash chaotic map

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

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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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