Overview
- Provides a comprehensive review of medical image watermarking techniques in spatial and transform domain
- Discusses the major performance parameters of watermarking techniques and presents a brief overview of different types of possible watermarking attacks and benchmark tools for medical image watermarking
- Describes a robust and secure hybrid multiple watermarking technique for medical images and addresses the issue of channel noise distortions leading to faulty watermark that may also result into inappropriate disease diagnosis in telemedicine environment
- Presents a secure spread-spectrum based multiple watermarking technique to prevent medical identity theft and health data management issues
- Covers multiple watermarking techniques using cover eye image for secure and compact medical data transmission for tele-ophthalmology applications
- Presents a hybrid robust and secure watermarking technique using neural networks and/or selective encryption
- Covers watermarking for medical, 3D model watermarking, watermarking in cloud computing and multi-cores environment, biometric watermarking, watermarking using mobile devise and securing online social networks contents
- Includes supplementary material: sn.pub/extras
- Includes supplementary material: sn.pub/extras
Part of the book series: Multimedia Systems and Applications (MMSA)
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Table of contents (10 chapters)
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Front Matter
Keywords
About this book
This book presents medical image watermarking techniques and algorithms for telemedicine and other emerging applications. This book emphasizes on medical image watermarking to ensure the authenticity of transmitted medical information. It begins with an introduction of digital watermarking, important characteristics, novel applications, different watermarking attacks and standard benchmark tools. This book also covers spatial and transform domain medical image watermarking techniques and their merits and limitations.
The authors have developed improved/novel watermarking techniques for telemedicine applications that offer higher robustness, better perceptual quality and increased embedding capacity and secure watermark. The suggested methods may find potential applications in the prevention of patient identity theft and health data management issues which is a growing concern in telemedicine applications.
This book provides a sound platform for understanding
the medical image watermarking paradigm for researchers in the field and advanced-level students. Industry professionals working in this field, as well as other emerging applications demanding robust and secure watermarking will find this book useful as a reference.Editors and Affiliations
Bibliographic Information
Book Title: Medical Image Watermarking
Book Subtitle: Techniques and Applications
Editors: Amit Kumar Singh, Basant Kumar, Ghanshyam Singh, Anand Mohan
Series Title: Multimedia Systems and Applications
DOI: https://doi.org/10.1007/978-3-319-57699-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-57698-5Published: 23 August 2017
Softcover ISBN: 978-3-319-86227-9Published: 12 June 2018
eBook ISBN: 978-3-319-57699-2Published: 11 August 2017
Series ISSN: 1568-2358
Series E-ISSN: 2945-5715
Edition Number: 1
Number of Pages: XXIV, 244
Number of Illustrations: 32 b/w illustrations, 50 illustrations in colour
Topics: Security, Image Processing and Computer Vision, Signal, Image and Speech Processing, Health Administration, Multimedia Information Systems, Health Informatics