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Journal articles on the topic 'Medical Image Watermarking (MIW)'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Favorskaya, M. N., and E. I. Savchina. "CONTENT PRESERVING WATERMARKING FOR MEDICAL IMAGES USING SHEARLET TRANSFORM AND SVD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W4 (May 10, 2017): 101–8. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w4-101-2017.

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Medical Image Watermarking (MIW) is a special field of a watermarking due to the requirements of the Digital Imaging and COmmunications in Medicine (DICOM) standard since 1993. All 20 parts of the DICOM standard are revised periodically. The main idea of the MIW is to embed various types of information including the doctor’s digital signature, fragile watermark, electronic patient record, and main watermark in a view of region of interest for the doctor into the host medical image. These four types of information are represented in different forms; some of them are encrypted according to the D

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Nashwan Alsalam Ali and Iman I. Hamid. "Watermarking in Medical Image." International Journal of Online and Biomedical Engineering (iJOE) 19, no. 06 (2023): 114–26. http://dx.doi.org/10.3991/ijoe.v19i06.37591.

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Medical image security is possible using digital watermarking techniques. Important information is included in a host medical image in order to provide integrity, consistency, and authentication in the healthcare information system. This paper introduces a proposed method for embedding invisible watermarking in the 3D medical image. The cover medical image used is DICOM which consists of a number of slices, each one representing a sense, firstly must separate the ROI (Region of Interest) and NROI (Not Region Of Interest) for each slice, the separation process performed by the particular person

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Ko, Lu-Ting, Jwu-E. Chen, Yaw-Shih Shieh, Massimo Scalia, and Tze-Yun Sung. "A Novel Fractional-Discrete-Cosine-Transform-Based Reversible Watermarking for Healthcare Information Management Systems." Mathematical Problems in Engineering 2012 (2012): 1–17. http://dx.doi.org/10.1155/2012/757018.

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Digital watermarking is a good tool for healthcare information management systems. The well-known quantization-index-modulation- (QIM-) based watermarking has its limitations as the host image will be destroyed; however, the recovery of medical image is essential to avoid misdiagnosis. A transparent yet reversible watermarking algorithm is required for medical image applications. In this paper, we propose a fractional-discrete-cosine-transform- (FDCT-) based watermarking to exactly reconstruct the host image. Experimental results show that the FDCT-based watermarking is preferable to the QIM-b

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4

Umamageswari, A., and G. R. Suresh. "Analysis of Secure Medical Image Communication with Digital Signature and Reversible Watermarking." TELKOMNIKA Indonesian Journal of Electrical Engineering 15, no. 3 (2015): 544. http://dx.doi.org/10.11591/tijee.v15i3.1573.

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<p>Protection of Medical image contents becomes the important issue in computer network security. Digital Watermarking has becomes a promising technique for medical content authentication, it allows to embed relevant information with the image, which provides confidentiality, integrity and authentication by embedding Digital Signature (DS) with the Medical image. In this paper we focus on need for reversible watermarking, Medical Image Compression and security related problems in medical images, it comparing the performances of various lossless watermarking techniques for various medical

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Priya, S., B. Santhi ., and P. Swaminathan . "Study on Medical Image Watermarking Techniques." Journal of Applied Sciences 14, no. 14 (2014): 1638–42. http://dx.doi.org/10.3923/jas.2014.1638.1642.

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6

Alamgir, Nyma, and Jong-Myon Kim. "Fuzzy Clustering Based Medical Image Watermarking." KIPS Transactions on Software and Data Engineering 2, no. 7 (2013): 487–94. http://dx.doi.org/10.3745/ktsde.2013.2.7.487.

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7

Zhang, Zhengwei, Lifa Wu, Huabo Li, Haiguang Lai, and Chenghui Zheng. "Dual Watermarking Algorithm for Medical Image." Journal of Medical Imaging and Health Informatics 7, no. 3 (2017): 607–22. http://dx.doi.org/10.1166/jmihi.2017.2056.

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8

Khor, Hui Liang, Siau-Chuin Liew, and Jasni Mohd Zain. "Parallel Digital Watermarking Process on Ultrasound Medical Images in Multicores Environment." International Journal of Biomedical Imaging 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/9583727.

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With the advancement of technology in communication network, it facilitated digital medical images transmitted to healthcare professionals via internal network or public network (e.g., Internet), but it also exposes the transmitted digital medical images to the security threats, such as images tampering or inserting false data in the images, which may cause an inaccurate diagnosis and treatment. Medical image distortion is not to be tolerated for diagnosis purposes; thus a digital watermarking on medical image is introduced. So far most of the watermarking research has been done on single fram

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9

Manikandan, Vazhora Malayil, Nelapati Lava Prasad, and Masilamani Vedhanayagam. "Half Difference Expansion Based Reversible Data Hiding Scheme for Medical Image Forensics." Current Medical Imaging Formerly Current Medical Imaging Reviews 16, no. 4 (2020): 383–96. http://dx.doi.org/10.2174/1573405614666180903120018.

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Background: Medical image authentication is an important area which attempts to establish ownership authentication and data authentication of medical images. Aims: In this paper, we propose a new reversible watermarking scheme based on a novel half difference expansion technique for medical image forensics. Methods: Conventional difference expansion based reversible watermarking scheme generates watermarked images with less visual quality, and the embedding rate was considerably less due to the high probability of overflow or underflow. In the proposed scheme, the quality of the watermarked im

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Rathina Kumar, N., and C. Ramya. "An Enhanced Hybrid Watermarking Method and Imaging System for Securing Medical Images." Journal of Medical Imaging and Health Informatics 11, no. 11 (2021): 2754–64. http://dx.doi.org/10.1166/jmihi.2021.3867.

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Medical image processing typically deals with the exploration of several medical image datasets for attaining an effective solution in diagnosing the affected patients. Medical image of the patients are typically stored in digital form as Electronic patient’s record (EPR), which must be dealt with utmost security and confidentiality, as the patient’s data are linked with external open platforms for future diagnosis. Medical image watermarking and encryption schemes assist in meeting the above requirements in effectively securing the patient’s image data. The ultimate objective of this research

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Priya, S., B. Santhi, and J. Raja Mohan. "Medical Image Watermarking Technique Using Image Interpolation in Transform Domain." International Journal of Engineering & Technology 7, no. 3.12 (2018): 711. http://dx.doi.org/10.14419/ijet.v7i3.12.16461.

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In telemedicine, medical data are shared across the world among different specialists for various purposes through an unsecured medium. So there is a need to protect the medical data during transmission. With the help of image watermarking techniques, medical images are protected along with the electronic patient information (EPI). This paper proposes a medical image watermarking, by applying wavelet transform, using an interpolation technique. EPI data is embedded within the transformed medical image to generate a watermarked image. At the extraction side, EPI data are extracted and medical i

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12

Nagm, Ahmed, and Mohammed Safy. "A robust watermarking algorithm for medical images." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 3 (2020): 1601–12. https://doi.org/10.11591/ijeecs.v20.i3.pp1601-1612.

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Integrated healthcare systems require the transmission of medical images between medical centres. The presence of watermarks in such images has become important for patient privacy protection. However, some important issues should be considered while watermarking an image. Among these issues, the watermark should be robust against attacks and does not affect the quality of the image. In this paper, a watermarking approach employing a robust dynamic secret code is proposed. This approach is to process every pixel of the digital image and not only the pixels of the regions of non-interest at the

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13

Han, Bao Ru, and Jing Bing Li. "Medical Volume Data Zero-Watermarking Algorithm Using 3D-DCT and Chaotic Neural Network." Applied Mechanics and Materials 401-403 (September 2013): 1561–64. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1561.

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This paper presented a new watermarking algorithm based on 3D-DCT and chaotic neural network in order to protect three-dimensional medical images. The algorithm adopts a wealth of information grayscale image as a watermark and three-dimensional medical image as the original carrier. It utilizes chaos neural network for scrambling and encryption of watermarking image. The embedded watermark has cryptographic security significance. Experimental results show that the algorithm is simple, which is a blind watermarking algorithm; the watermark extraction process does not require the original image.

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Nagm, Ahmed, and Mohammed Safy. "A robust watermarking algorithm for medical images." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 3 (2020): 1601. http://dx.doi.org/10.11591/ijeecs.v20.i3.pp1601-1612.

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<p>Integrated healthcare systems require the transmission of medical images between medical centres. The presence of watermarks in such images has become important for patient privacy protection. However, some important issues should be considered while watermarking an image. Among these issues, the watermark should be robust against attacks and does not affect the quality of the image. In this paper, a watermarking approach employing a robust dynamic secret code is proposed. This approach is to process every pixel of the digital image and not only the pixels of the regions of non-intere

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15

Sonika, C. Rath, and S. Inamdar Vandana. "MEDICAL IMAGES AUTHENTICATION THROUGH WATERMARKING PRESERVING ROI." Health Informatics - An International Journal (HIIJ) 1, no. 1 (2012): 27–42. https://doi.org/10.5281/zenodo.1240669.

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Telemedicine is a well-known application where enormous amount of medical data need to be securely transferred over the public network and manipulate effectively. Medical image watermarking is an appropriate method used for enhancing security and authentication of medical data, which is crucial and used for further diagnosis and reference. This project focuses on the study of medical image watermarking methods for protecting and authenticating medical data. Additionally, it covers algorithm for application of water marking technique on Region of Non Interest (RONI) of the medical image preserv

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16

Jingbing Li, Chunhua Dong, Mengxing Huang, Huaiqiang Zhang, and Yenwei Chen. "A Novel Robust Watermarking for Medical Image." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, no. 11 (2012): 28–36. http://dx.doi.org/10.4156/aiss.vol4.issue11.4.

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17

Ahlam Fadhil Mahmood, Dr. "FPGA Implementation of Reversible Medical Image Watermarking." AL-Rafdain Engineering Journal (AREJ) 20, no. 4 (2012): 21–31. http://dx.doi.org/10.33899/rengj.2012.54152.

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18

Sahithi, G. Pavana, Ch Divya, B. Ratna Priya, D. Anusha, and R. Eswaraiah. "A Novel Medical Image Watermarking using IWT." International Journal of Computer Sciences and Engineering 7, no. 4 (2019): 211–19. http://dx.doi.org/10.26438/ijcse/v7i4.211219.

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19

Sundar, Jaishree, K. Gayathri, G. Keerthana, and Sivakannan Subramani. "Medical image watermarking technique using IWT-BSVD." International Journal of Advanced Intelligence Paradigms 19, no. 1/2 (2021): 1. http://dx.doi.org/10.1504/ijaip.2021.10023311.

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Kumar, Sumit, and Rajib Kumar Jha. "FD-based detector for medical image watermarking." IET Image Processing 13, no. 10 (2019): 1773–82. http://dx.doi.org/10.1049/iet-ipr.2018.5485.

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21

Anusudha, K., N. Venkateswaran, and J. Valarmathi. "Secured medical image watermarking with DNA codec." Multimedia Tools and Applications 76, no. 2 (2016): 2911–32. http://dx.doi.org/10.1007/s11042-015-3213-1.

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22

Singh, Roop, Pavan Kumar Shukla, Tarun Kumar, and Vinod M. Kapse. "Robust medical image watermarking in frequency domain." International Journal of Electrical and Electronics Research 11, no. 3 (2023): 859–65. http://dx.doi.org/10.37391/ijeer.110333.

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Protecting patient information in medical image watermarking poses a significant challenge, especially when traditional methods like the Arnold transform prove inadequate in ensuring security. This paper introduces a novel approach within the Discrete Wavelet Transform (DWT) domain to address this issue effectively. By employing the Advanced Encryption Standard (AES), the security and robustness of the system are greatly enhanced through the encryption of both the medical image and patient data. The encrypted medical image undergoes a 2-level DWT process, allowing the concealment of encrypted

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Subramani, Sivakannan, G. Keerthana, K. Gayathri, and Jaishree Sundar. "Medical image watermarking technique using IWT-BSVD." International Journal of Advanced Intelligence Paradigms 26, no. 3/4 (2023): 258–66. http://dx.doi.org/10.1504/ijaip.2023.135859.

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Saber, Mohamed, El-Sayed M. El El-Kenawy, Abdelhameed Ibrahim, and Marwa M. Eid. "Watermarking System for Medical Images Using Optimization Algorithm." Fusion: Practice and Applications 10, no. 1 (2023): 89–99. http://dx.doi.org/10.54216/fpa.100105.

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One of the main methods used to provide security for medical records when exchanging these records through open networks is digital watermarking. In order to preserve the privacy of patients, this system also requires a means to secure images. In this paper, a watermarking based on discrete wavelet transform (DWT), and discrete and discrete cosine transform (DCT) in cascade provides more robustness and security. DCT divides the image into low and high-frequency regions, watermarking message can be embedded into low-frequency regions to prevent distortion of the original image. DWT splits the i

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25

Ko, Lu-Ting, Jwu-E. Chen, Yaw-Shih Shieh, Hsi-Chin Hsin, and Tze-Yun Sung. "Nested Quantization Index Modulation for Reversible Watermarking and Its Application to Healthcare Information Management Systems." Computational and Mathematical Methods in Medicine 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/839161.

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Digital watermarking has attracted lots of researches to healthcare information management systems for access control, patients' data protection, and information retrieval. The well-known quantization index modulation-(QIM-) based watermarking has its limitations as the host image will be destroyed; however, the recovery of medical images is essential to avoid misdiagnosis. In this paper, we propose the nested QIM-based watermarking, which is preferable to the QIM-based watermarking for the medical image applications. As the host image can be exactly reconstructed by the nested QIM-based water

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Huang, Tongyuan, Jia Xu, Yuling Yang, and Baoru Han. "Robust Zero-Watermarking Algorithm for Medical Images Using Double-Tree Complex Wavelet Transform and Hessenberg Decomposition." Mathematics 10, no. 7 (2022): 1154. http://dx.doi.org/10.3390/math10071154.

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With the rapid development of smart medical care, copyright security for medical images is becoming increasingly important. To improve medical images storage and transmission safety, this paper proposes a robust zero-watermarking algorithm for medical images by fusing Dual-Tree Complex Wavelet Transform (DTCWT), Hessenberg decomposition, and Multi-level Discrete Cosine Transform (MDCT). First, the low-frequency sub-band of the medical image is obtained through the DTCWT and MDCT. Then Hessenberg decomposition is used to construct the visual feature vector. Meanwhile, the encryption of the wate

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Khafaga, Doaa Sami, Faten Khalid Karim, Mohamed M. Darwish, and Khalid M. Hosny. "Robust Zero-Watermarking of Color Medical Images Using Multi-Channel Gaussian-Hermite Moments and 1D Chebyshev Chaotic Map." Sensors 22, no. 15 (2022): 5612. http://dx.doi.org/10.3390/s22155612.

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Copyright protection of medical images is a vital goal in the era of smart healthcare systems. In recent telemedicine applications, medical images are sensed using medical imaging devices and transmitted to remote places for screening by physicians and specialists. During their transmission, the medical images could be tampered with by intruders. Traditional watermarking methods embed the information in the host images to protect the copyright of medical images. The embedding destroys the original image and cannot be applied efficiently to images used in medicine that require high integrity. R

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Laouamer, Lamri. "New Informed Non-Blind Medical Image Watermarking Based on Local Binary Pattern." Traitement du Signal 39, no. 5 (2022): 1851–56. http://dx.doi.org/10.18280/ts.390545.

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Medical image watermarking represents a promising alternative tool regarding many security aspects such: digital rights, authenticity and integrity and content protection issues. Achieving a successful watermarking should be achieved by choosing the most significant and important patterns describing the image. This strategy should also ensure a tradeoff between the robustness of the watermark against attacks and the computational time both for watermark embedding and extracting processes. In this paper, an informed medical image watermarking scheme is proposed based on local binary pattern LBP

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Aparna, Puvvadi, and Polurie Venkata Vijay Kishore. "A Blind Medical Image Watermarking for Secure E-Healthcare Application Using Crypto-Watermarking System." Journal of Intelligent Systems 29, no. 1 (2019): 1558–75. http://dx.doi.org/10.1515/jisys-2018-0370.

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Abstract A reliable medical image management must provide proper security for patient information. Protecting the medical information of the patients is a major concern in all hospitals. Digital watermarking is a procedure prevalently used to secure the confidentiality of medical information and maintain them, which upgrades patient health awareness. To protect the medical information, the robust and lossless patient medical information sharing system using crypto-watermarking method is proposed. The proposed system consists of two phases: (i) embedding and (ii) extraction. In this paper, we s

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Han, Baoru, Jinglong Du, Yuanyuan Jia, and Huazheng Zhu. "Zero-Watermarking Algorithm for Medical Image Based on VGG19 Deep Convolution Neural Network." Journal of Healthcare Engineering 2021 (July 1, 2021): 1–12. http://dx.doi.org/10.1155/2021/5551520.

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Aiming at the security issues in the storage and transmission of medical images in the medical information system, combined with the special requirements of medical images for the protection of lesion areas, this paper proposes a robust zero-watermarking algorithm for medical images’ security based on VGG19. First, the pretrained VGG19 is used to extract deep feature maps of medical images, which are fused into the feature image. Second, the feature image is transformed by Fourier transform, and low-frequency coefficients of the Fourier transform are selected to construct the feature matrix of

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苌, 悦. "Reversible Medical Image Watermarking Based on Image Interpolation Error Expansion." Computer Science and Application 08, no. 04 (2018): 480–86. http://dx.doi.org/10.12677/csa.2018.84053.

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Zhong, Xin, and Frank Y. Shih. "A High-Capacity Reversible Watermarking Scheme Based on Shape Decomposition for Medical Images." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 01 (2018): 1950001. http://dx.doi.org/10.1142/s0218001419500010.

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We present a high-capacity reversible, fragile, and blind watermarking scheme for medical images in this paper. A bottom-up saliency detection algorithm is applied to automatically locate the multiple arbitrarily-shaped regions of interest (ROIs). The iterative square-production algorithm is developed to generate different sizes of squares for shape decomposition on the regions of noninterest (RONIs). This scheme of combining the frequency-domain watermarking and arbitrarily-shaped ROI methods can significantly increase the watermarking capacity, whereas the embedded image fidelity is preserve

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HAFIZHANA, YASQI, IRMA SAFITRI, LEDYA NOVAMIZANTI, and NUR IBRAHIM. "Image Watermarking pada Citra Medis menggunakan Compressive Sensing berbasis Stationary Wavelet Transform." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 8, no. 1 (2020): 43. http://dx.doi.org/10.26760/elkomika.v8i1.43.

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ABSTRAK  Watermarking pada citra medis dilakukan untuk melindungi hak kepemilikan dan keaslian sebuah citra medis. Proses embedding dan extraction dirancang menggunakan metode Stationary Wavelet Transform (SWT) dan Statistical Mean Manipulation (SMM) untuk mengubah citra host menjadi sinyal sparse kemudian memasuki proses watermarking. Citra watermark dioptimasi dengan menggunakan metode Compressive Sensing (CS). Hasil akhir dari penelitian ini menunjukkan simulasi Image Watermarking dengan Bit Error Rate (BER) mendekati nilai nol dan PSNR lebih besar dari 40 dB, tanpa diberikan se

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Xiao, Shaozhang, Zhengwei Zhang, Yue Zhang, and Changhui Yu. "Multipurpose Watermarking Algorithm for Medical Images." Scientific Programming 2020 (September 1, 2020): 1–13. http://dx.doi.org/10.1155/2020/8848885.

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Considering the existing medical image watermarking algorithms, a single function often has limitations, and a multipurpose watermarking algorithm for medical images is proposed. First, medical images are divided into regions of interest (ROIs) and regions of noninterest (RONIs). Then, the authentication watermark produced for each subblock of the ROI is embedded into the corresponding mapping subblock. The visible watermark is embedded into the RONI, and, finally, the watermark information and constructed authentication information in each subblock of the ROI are embedded into the correspondi

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Tayachi, Mayssa, Saleh Mulhem, Wael Adi, Laurent Nana, Anca Pascu, and Faouzi Benzarti. "Tamper and Clone-Resistant Authentication Scheme for Medical Image Systems." Cryptography 4, no. 3 (2020): 19. http://dx.doi.org/10.3390/cryptography4030019.

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Telemedicine applications are more and more used due to the rapid development of digital imaging and information and communication technologies. Medical information which include digital medical images and patient’s information are extracted and transmitted over insecure networks for clinical diagnosis and treatments. Digital watermarking is one of the main approaches used to ensure the security of medical images. Nevertheless, in some cases, the only use of digital watermarking is not sufficient to reach a high level of security. Indeed, the watermark could carry essential patient information

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Sinha Roy, Subhrajit, Abhishek Basu, and Avik Chattopadhyay. "Prospects of Digital Watermarking in Providing Security, Reliability, and Privacy to Medical Images." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 17, no. 2 (2023): 168–82. http://dx.doi.org/10.37936/ecti-cit.2023172.249484.

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Telemedicine is one of the most eminent terms used in the modern e-healthcare system. Digital medical image reports, along with electronic patient records, play a central role in diagnosis from distance. These reports need to be transmitted over an open communication channel with immense security and reliability, so that appropriate diagnosis can be performed. Moreover, the privacy of the patient is required to be preserved. Digital watermarking is one of the most conventional and suitable practices to serve all of these purposes. New challenges appear in the domain of watermarking with the ad

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Liu, Yao Li, and Jing Bing Li. "DWT-DFT and Logistic Map Based Watermarking Algorithm for Medical Image." Applied Mechanics and Materials 380-384 (August 2013): 4124–27. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4124.

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When medical image transmitted and stored on the Internet, it is vulnerable to many kinds of attacks, thus, the security of the patients personal information is low. A robust watermarking algorithm has been proposed to increase the security of medical images. The scheme obtains the visual feature vectors of the medical image using DWT-DFT. At the same time, applying Logistic Map to encrypt the watermarking image, which can enhance its security. The experiment results show that the scheme has strong robustness against geometrical attacks.

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Sun, Xin De. "A Novel Digital Watermarking Algorithm for Medical Color Image." Advanced Materials Research 756-759 (September 2013): 3303–8. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3303.

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In this paper, we propose a novel medical color image digital watermarking algorithm, which can realize watermark capacity, transparency and robustness effective compromise. We encrypt the watermark image by Arnold Transform at first and then take it into a random sequence. The principal component of medical image is divided into some sub-blocks with 4×4 and each block is transformed by DCT. One bit of watermark is embedded by comparing the size of specific DCT coefficients in the adjacent sub-blocks. Watermark can be extracted without the original medical image. The experimental results show

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Zermi, Narima, Amine Khaldi, Med Redouane Kafi, Fares Kahlessenane, and Salah Euschi. "Robust SVD-based schemes for medical image watermarking." Microprocessors and Microsystems 84 (July 2021): 104134. http://dx.doi.org/10.1016/j.micpro.2021.104134.

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Jingbing Li, Yaoli Liu, Wencai Du, and Yenwei Chen. "The Robust Medical Image Watermarking Using Logistic Map." Journal of Convergence Information Technology 8, no. 5 (2013): 884–92. http://dx.doi.org/10.4156/jcit.vol8.issue5.103.

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Solanki, Neha, Sanjay Kumar Malik, and Sonam Chhikara. "RONI Medical Image Watermarking using DWT and RSA." International Journal of Computer Applications 96, no. 9 (2014): 30–35. http://dx.doi.org/10.5120/16823-6581.

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Das, Sanjay, Abhishek Basu, Soumadeb Dutta, Souma Das, Debamita Biswas, and Sandeep Bal. "Hardware realisation of an intelligent medical image watermarking." International Journal of Nanoparticles 12, no. 1/2 (2020): 33. http://dx.doi.org/10.1504/ijnp.2020.10027796.

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Bal, Sandeep, Sanjay Das, Soumadeb Dutta, Souma Das, Debamita Biswas, and Abhishek Basu. "Hardware realisation of an intelligent medical image watermarking." International Journal of Nanoparticles 12, no. 1/2 (2020): 33. http://dx.doi.org/10.1504/ijnp.2020.105999.

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Rajendran, Mothi, Gokul Chandrasekaran, Mahendrakumar Subramaniam, and Sudha Subramaniam. "Optimal Crypto-Watermarking System for Medical Image Protection." Traitement du Signal 41, no. 6 (2024): 3327–34. https://doi.org/10.18280/ts.410648.

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Sabbane, Fadoua, and Hamid Tairi. "Medical image watermarking technique based on polynomial decomposition." Multimedia Tools and Applications 78, no. 23 (2019): 34129–55. http://dx.doi.org/10.1007/s11042-019-08134-7.

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Swaraja K. "Medical image region based watermarking for secured telemedicine." Multimedia Tools and Applications 77, no. 21 (2018): 28249–80. http://dx.doi.org/10.1007/s11042-018-6020-7.

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Nawaz, Saqib Ali, Jingbing Li, Uzair Aslam Bhatti, et al. "A Novel Hybrid Discrete Cosine Transform Speeded Up Robust Feature-Based Secure Medical Image Watermarking Algorithm." Journal of Medical Imaging and Health Informatics 10, no. 11 (2020): 2588–99. http://dx.doi.org/10.1166/jmihi.2020.3220.

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With the advancement of networks and multimedia, digital watermarking technology has received worldwide attention as an effective method of copyright protection. Improving the anti-geometric attack ability of digital watermarking algorithms using image feature-based algorithms have received extensive attention. This paper proposes a novel robust watermarking algorithm based on SURF-DCT perceptual hashing (Speeded Up Robust Features and Discrete Cosine Transform), namely blind watermarking. We design and implement a meaningful binary watermark embedding and extraction algorithm based on the SUR

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Zear, Aditi, Amit Kumar Singh, and Pardeep Kumar. "Multiple Watermarking for Healthcare Applications." Journal of Intelligent Systems 27, no. 1 (2018): 5–18. http://dx.doi.org/10.1515/jisys-2016-0036.

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AbstractIn this paper, an algorithm for multiple digital watermarking based on discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) was proposed for healthcare applications such as tele-ophthalmology, tele-medicine, tele-diagnosis, and tele-consultancy services. Multiple watermarks were used in this algorithm to reduce the consequences of medical identity thefts. In the embedding process, the cover medical image was decomposed into third-level DWT. Low-frequency bands (LH2 and LL3) were transformed by DCT, and then SVD was applied to DCT coe

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Gosul, Manohar, and Nisarg Gandhewar. "A Reversible Digital Image Watermarking Technique for Integrity and Authenticity of MR Images." International Journal of Engineering Research in Computer Science and Engineering 9, no. 9 (2022): 41–46. http://dx.doi.org/10.36647/ijercse/09.09.art012.

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Digital Watermarking is the art and science of embedding information in existing digital content for Digital Rights Management (DRM) and authentication. Reversible watermarking is a class of (fragile) digital watermarking that not only authenticates multimedia data content, but also helps to maintain perfect integrity of the original multimedia “cover data”. Watermarking of digital images is a well-known technique that is widely used for securing image contents. A successful watermarking method must be accurate, reversible, resilient, and robust against various attacks. The technical revolutio

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BAISA, L. GUNJAL. "A CLASSICAL REVIEW ON ADVANCED DIGITAL IMAGE WATERMARKING TECHNIQUES." JournalNX - a Multidisciplinary Peer Reviewed Journal 3, no. 8 (2017): 58–65. https://doi.org/10.5281/zenodo.1420785.

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The world has become a global village in digital era due to advances in internet and communication technology. Presently, creation, copy and transmission of image data via internet and mobile phone are very common practices. The access, sharing, replication and manipulation of medical images have become daily needs. Image data distributed can be copied repeatedly without errors putting the rights of owners at risk. Even though encrypted for distribution, images can be unprotected after decryption. Deployment of information and communication technology infrastructure is bringing revolution to h

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