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Medical Image Watermarking Techniques And Applications Kumar

SKU: BELL-6751760

$ 31.00 ~~$ 45.00~~ (-31%)

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Medical Image Watermarking Techniques And Applications Kumar instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 7.17 MB

Pages: 263

Author: Kumar, Basant; Mohan, Anand; Singh, Amit Kumar; Singh, Ghanshyam

ISBN: 9783319576985, 9783319576992, 3319576984, 3319576992

Language: English

Year: 2017

Product desciption

Medical Image Watermarking Techniques And Applications Kumar by Kumar, Basant; Mohan, Anand; Singh, Amit Kumar; Singh, Ghanshyam 9783319576985, 9783319576992, 3319576984, 3319576992 instant download after payment.

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.
Abstract: This book presents medical image watermarking techniques and algorithms for telemedicine and other emerging applications. 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.