Medical Image Watermarking

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 

Techniques and Applications, Multimedia Systems and Applications

ISBN: 3319576984
ISBN 13: 9783319576985
Herausgeber: Amit Kumar Singh/Basant Kumar/Ghanshyam Singh et al
Verlag: Springer Verlag GmbH
Umfang: xxiv, 244 S., 32 s/w Illustr., 50 farbige Illustr., 244 p. 82 illus., 50 illus. in color.
Erscheinungsdatum: 23.08.2017
Auflage: 1/2017
Produktform: Gebunden/Hardback
Einband: Gebunden

Provides a comprehensive review of medical image watermarking techniques in spatial and transform domainDiscusses 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 watermarkingDescribes 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 environmentPresents a secure spread-spectrum based multiple watermarking technique to prevent medical identity theft and health data management issuesCovers multiple watermarking techniques using cover eye image for secure and compact medical data transmission for tele-ophthalmology applicationsPresents a hybrid robust and secure watermarking technique using neural networks and/or selective encryptionCovers 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 contentsIncludes supplementary material: sn.pub/extrasIncludes supplementary material: sn.pub/extras

Artikelnummer: 2174074 Kategorie:

Beschreibung

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.

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