Relevant bibliographies by topics / Medical Image Watermarking (MIW)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Medical Image Watermarking (MIW)'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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

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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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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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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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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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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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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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Dissertations / Theses on the topic "Medical Image Watermarking (MIW)"

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Nyeem, Hussain Md Abu. "A digital watermarking framework with application to medical image security." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/74749/1/Hussain%20Md%20Abu_Nyeem_Thesis.pdf.

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Dealing with digital medical images is raising many new security problems with legal and ethical complexities for local archiving and distant medical services. These include image retention and fraud, distrust and invasion of privacy. This project was a significant step forward in developing a complete framework for systematically designing, analyzing, and applying digital watermarking, with a particular focus on medical image security. A formal generic watermarking model, three new attack models, and an efficient watermarking technique for medical images were developed. These outcomes contrib
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Zain, Jasni Mohamad. "Digital watermarking in medical images." Thesis, Brunel University, 2005. http://bura.brunel.ac.uk/handle/2438/4978.

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This thesis addresses authenticity and integrity of medical images using watermarking. Hospital Information Systems (HIS), Radiology Information Systems (RIS) and Picture Archiving and Communication Systems (P ACS) now form the information infrastructure for today's healthcare as these provide new ways to store, access and distribute medical data that also involve some security risk. Watermarking can be seen as an additional tool for security measures. As the medical tradition is very strict with the quality of biomedical images, the watermarking method must be reversible or if not, region of
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Karasad, Mohamed. "Tatouage des images médicales partagées." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2018. http://www.theses.fr/2018IMTA0076.

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L'évolution rapide des technologies du multimédia et des communications s'exprime dans le domaine de la santé par la mise à disposition de nouveaux moyens de partage et d'accès distant aux données d'imagerie des patients. Ces moyens prennent désormais une place importante dans la pratique quotidienne médicale. Pour les professionnels de santé, ils facilitent la prise en charge des patients et permettent d'améliorer la gestion de l'information médicale. Dans un tel contexte, la question de la sécurité des données est particulièrement sensible, notamment en termes d'intégrité, d'authenticité et
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Al-Shaikh, Mu'ath. "Protection des contenus des images médicales par camouflage d'informations secrètes pour l'aide à la télémédecine." Thesis, Brest, 2016. http://www.theses.fr/2016BRES0020/document.

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La protection de l’image médicale numérique comporte au moins deux aspects principaux: la sécurité et l’authenticité. Afin d’assurer la sécurité, l’information doit être protégée vis-à-vis des utilisateurs non autorisés. L’authenticité permet quant à elle de s’assurer que la donnée reçue n’est pas modifiée, n’est pas altérée, et qu’elle est bien envoyée par l’expéditeur supposé. La « technique » cryptographique garantit la sécurité en faisant l’hypothèse que l’expéditeur et le destinataire ont des clés permettant respectivement de crypter et de décrypter le message. De cette manière, seule la
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Osborne, Dominic. "Embedded watermarking for image verification in telemedicine." 2005. http://hdl.handle.net/2440/37748.

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Wireless communication technology has provided increased opportunity for applications such as telemedicine. This work focuses on the end application of teleradiology, targeting the communication of digital diagnostic images to remote locations for diagnosis and treatment. Medical images have conventionally been of large size and stored without loss of redundancy. Recent research has demonstrated that acceptable levels of Joint Picture Experts Group ( JPEG ) compression may be used on these image types without loss of diagnostic content. This has provided an opportunity for more rapid image tra
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Sako, Farau W., and 沙威廉. "Digital Watermarking of Medical Image Fusion based Discrete Wavelet Transform and Singular Value Decomposition." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/39862109168805695420.

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碩士<br>國立臺灣海洋大學<br>通訊與導航工程學系<br>103<br>Now a days many hospitals and diagnostic centers have started using wireless media for transmitting and receiving Medical information, security for exchanging these Medical information is highly required. In our study we propose Digital Watermarking of Fused Medical Image based on Discrete wavelet transform and Singular value decomposition algorithm, by applying digital watermarking to the medical image not only protecting medical image from the third part (attackers) but also providing authentication by means of adding ownership data as the watermark imag
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Books on the topic "Medical Image Watermarking (MIW)"

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Singh, Amit Kumar, Basant Kumar, Ghanshyam Singh, and Anand Mohan, eds. Medical Image Watermarking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57699-2.

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Medical Image Watermarking. Springer Nature, 2017.

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Mohan, Anand, Amit Kumar Singh, Ghanshyam Singh, and Basant Kumar. Medical Image Watermarking: Techniques and Applications. Springer, 2018.

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Mohan, Anand, Amit Kumar Singh, Ghanshyam Singh, and Basant Kumar. Medical Image Watermarking: Techniques and Applications. Springer, 2017.

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Advances in Telemedicine for Health Monitoring: Technologies, Design and Applications. Institution of Engineering & Technology, 2020.

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Book chapters on the topic "Medical Image Watermarking (MIW)"

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Singh, Amit Kumar, Basant Kumar, Ghanshyam Singh, and Anand Mohan. "Digital Image Watermarking: Concepts and Applications." In Medical Image Watermarking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57699-2_1.

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Singh, Amit Kumar, Basant Kumar, Ghanshyam Singh, and Anand Mohan. "State-of-the-Art Techniques of Image Watermarking: New Trends and Future Challenges." In Medical Image Watermarking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57699-2_10.

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Singh, Amit Kumar, Basant Kumar, Ghanshyam Singh, and Anand Mohan. "Medical Image Watermarking Techniques: A Technical Survey and Potential Challenges." In Medical Image Watermarking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57699-2_2.

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Singh, Amit Kumar, Basant Kumar, Ghanshyam Singh, and Anand Mohan. "Analytical Study and Performance Evaluation of Medical Image Watermarking Techniques." In Medical Image Watermarking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57699-2_3.

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Singh, Amit Kumar, Basant Kumar, Ghanshyam Singh, and Anand Mohan. "Robust and Imperceptible Hybrid Watermarking Techniques for Medical Images." In Medical Image Watermarking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57699-2_4.

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Singh, Amit Kumar, Basant Kumar, Ghanshyam Singh, and Anand Mohan. "Robust and Secure Multiple Watermarking for Medical Images." In Medical Image Watermarking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57699-2_5.

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Singh, Amit Kumar, Basant Kumar, Ghanshyam Singh, and Anand Mohan. "Secure Spread Spectrum Based Multiple Watermarking Technique for Medical Images." In Medical Image Watermarking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57699-2_6.

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Singh, Amit Kumar, Basant Kumar, Ghanshyam Singh, and Anand Mohan. "Robust and Secure Multiple Watermarking Technique for Application in Tele-Ophthalmology." In Medical Image Watermarking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57699-2_7.

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Singh, Amit Kumar, Basant Kumar, Ghanshyam Singh, and Anand Mohan. "Secure Multiple Watermarking Technique Using Neural Networks." In Medical Image Watermarking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57699-2_8.

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Singh, Amit Kumar, Basant Kumar, Ghanshyam Singh, and Anand Mohan. "Securing Patient Data Through Multiple Watermarking and Selective Encryption." In Medical Image Watermarking. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57699-2_9.

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Conference papers on the topic "Medical Image Watermarking (MIW)"

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Al Nassan, Wafaa, Talal Bonny, and Mohamed AlShabi. "Chaotic system-based image watermarking for medical data protection." In Real-time Processing of Image, Depth and Video Information 2025, edited by Gian Domenico Licciardo, Matthias F. Carlsohn, and Viktor J. Schneider. SPIE, 2025. https://doi.org/10.1117/12.3061306.

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K, Nandhini, and R. Rajkumar. "Secure and Reversible Medical Image Watermarking for E-Healthcare Applications." In 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). IEEE, 2025. https://doi.org/10.1109/icmcsi64620.2025.10883636.

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Savakar, Dayanand G., Pandurang Biradar, and G. K. Kulkarni. "Non Blind Digital Medical Color Image Watermarking Using SVD and FFT." In 2024 International Conference on Innovation and Novelty in Engineering and Technology (INNOVA). IEEE, 2024. https://doi.org/10.1109/innova63080.2024.10847011.

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Wei, Xingxing, Bangzheng Pu, Chi Chen, and Huazhu Fu. "MIAD-MARK: Adversarial Watermarking of Medical Image for Protecting Copyright and Privacy." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822032.

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Wong, Yew Lee, Jia Cheng Loh, Chen Zhen Li, and Chi Wee Tan. "A Comparative Study on Medical Image Watermarking using Hybrid Approach and RivaGAN." In International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1024.

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With the increased use of electronic medical records and computer networks, Medical Image Watermarking (MIW) now plays a very important role to preserve integrity and completeness of medical images. As of now, there are no perfect algorithms or solutions for invisible watermarking as there are trade-offs between visibility and robustness. In this study, we explored multiple implementations of image watermarking techniques using Hybrid Approach and Deep-Learning-Approach. The experiments to measure the limitations and robustness were done on a dataset of breast ultrasound images. 18 attacking m
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Planitz, Birgit M., and Anthony J. Maeder. "Perceptually-limited modality-adaptive medical image watermarking." In Medical Imaging, edited by Yulei Jiang and Miguel P. Eckstein. SPIE, 2006. http://dx.doi.org/10.1117/12.654832.

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Abid Rahman, Chowdhury M., and Hussain Nyeem. "RONI segmentation for medical image watermarking." In 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT). IEEE, 2016. http://dx.doi.org/10.1109/ceeict.2016.7873154.

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Kallel, Imen, Mohamed Kallel, Eric Garcia, and Mohamed Bouhlel. "Fragile Watermarking for medical Image Authentication." In The 2nd International Conference on Distributed Frameworks for Multimedia Applications. IEEE, 2006. http://dx.doi.org/10.1109/dfma.2006.296919.

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Navas, K. A., M. Sasikumar, and S. Sreevidya. "A Benchmark for Medical Image Watermarking." In 2007 14th International Workshop on Systems, Signals and Image Processing and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. IEEE, 2007. http://dx.doi.org/10.1109/iwssip.2007.4381197.

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Bal, Sandeep, Sanjay Das, Soumadeb Dutta, Souma Das, Debamita Biswas, and Abhishek Basu. "FPGA Realization of Medical Image Watermarking." In 2018 IEEE Electron Devices Kolkata Conference (EDKCON). IEEE, 2018. http://dx.doi.org/10.1109/edkcon.2018.8770458.

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