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Multibiometric Watermarking with Compressive Sensing Theory, Rohit M. Thanki; Vedvyas J. Dwivedi; Komal R. Bori


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Автор: Rohit M. Thanki; Vedvyas J. Dwivedi; Komal R. Bori
Название:  Multibiometric Watermarking with Compressive Sensing Theory
ISBN: 9783319892399
Издательство: Springer
Классификация:




ISBN-10: 3319892398
Обложка/Формат: Soft cover
Страницы: 172
Вес: 0.31 кг.
Дата издания: 2018
Серия: Signals and Communication Technology
Язык: English
Издание: Softcover reprint of
Иллюстрации: 30 tables, color; 48 illustrations, color; 56 illustrations, black and white; xxi, 172 p. 104 illus., 48 illus. in color.; 30 tables, color; 48 illust
Размер: 234 x 156 x 11
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Techniques and Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents multibiometric watermarking techniques for security of biometric data. This book also covers transform domain multibiometric watermarking techniques and their advantages and limitations. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system. The authors show how these techniques offer higher robustness, authenticity, better imperceptibility, increased payload capacity, and secure biometric watermarks. They show how to use the CS theory for the security of biometric watermarks before embedding into the host biometric data. The suggested methods may find potential applications in the security of biometric data at various banking applications, access control of laboratories, nuclear power stations, military base, and airports.
Дополнительное описание: Chapter 1. Introduction.- Chapter 2.Related Works and Background Information.- Chapter 3.Issues in Biometric System and Proposed Research Methodology.- Chapter 4.Multibiometric Watermarking Technique using Discrete Wavelet Trans-form (DWT).- Chapter 5. Mu



Multibiometric Watermarking with Compressive Sensing Theory

Автор: Thanki
Название: Multibiometric Watermarking with Compressive Sensing Theory
ISBN: 3319731823 ISBN-13(EAN): 9783319731827
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents multibiometric watermarking techniques for security of biometric data. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system.

Mathematical Introduction to Compressive Sensing

Автор: Foucart Simon
Название: Mathematical Introduction to Compressive Sensing
ISBN: 0817649476 ISBN-13(EAN): 9780817649470
Издательство: Springer
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Цена: 9781.00 р.
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Описание: At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.

Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT

Автор: Yushu Zhang; Yong Xiang; Leo Yu Zhang
Название: Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT
ISBN: 9811325227 ISBN-13(EAN): 9789811325229
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book gives a comprehensive and systematic review of secure compressive sensing (CS) for applications in various fields such as image processing, pattern recognition, Internet of things (IoT), and cloud computing. It will help readers grasp the knowledge of secure CS and its applications, and stimulate more readers to work on the research and development of secure CS. It discusses how CS becomes a cryptosystem, followed by the corresponding designs and analyses. The application of CS in multimedia data encryption is presented, in which the general design framework is given together with several particular frameworks including parallel CS, involvement of image processing techniques, and double protection mechanism. It also describes the applications of CS in cloud computing security and IoT security, i.e., privacy-preserving reconstruction in cloud computing and secure low-cost sampling in IoT, respectively.

A Mathematical Introduction to Compressive Sensing

Автор: Simon Foucart; Holger Rauhut
Название: A Mathematical Introduction to Compressive Sensing
ISBN: 1493900633 ISBN-13(EAN): 9781493900633
Издательство: Springer
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Цена: 9781.00 р.
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Описание: At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.

Digital Watermarking

Автор: Nematollahi
Название: Digital Watermarking
ISBN: 9811020949 ISBN-13(EAN): 9789811020940
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents the state-of-the-arts application of digital watermarking in audio, speech, image, video, 3D mesh graph, text, software, natural language, ontology, network stream, relational database, XML, and hardware IPs. It also presents new and recent algorithms in digital watermarking for copyright protection and discusses future trends in the field.Today, the illegal manipulation of genuine digital objects and products represents a considerable problem in the digital world. Offering an effective solution, digital watermarking can be applied to protect intellectual property, as well as fingerprinting, enhance the security and proof-of-authentication through unsecured channels.

Advanced Techniques for Audio Watermarking

Автор: Rohit M. Thanki
Название: Advanced Techniques for Audio Watermarking
ISBN: 3030241858 ISBN-13(EAN): 9783030241858
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book provides information on digital audio watermarking, its applications, and its evaluation for copyright protection of audio signals – both basic and advanced. The author covers various advanced digital audio watermarking algorithms that can be used for copyright protection of audio signals. These algorithms are implemented using hybridization of advanced signal processing transforms such as fast discrete curvelet transform (FDCuT), redundant discrete wavelet transform (RDWT), and another signal processing transform such as discrete cosine transform (DCT). In these algorithms, Arnold scrambling is used to enhance the security of the watermark logo. This book is divided in to three portions: basic audio watermarking and its classification, audio watermarking algorithms, and audio watermarking algorithms using advance signal transforms. The book also covers optimization based audio watermarking.

Describes basic of digital audio watermarking and its applications, including evaluation parameters for digital audio watermarking algorithms;Provides audio watermarking algorithms using advanced signal transformations;Provides optimization based audio watermarking algorithms.
Advanced Compression and Watermarking Techniques for Speech Signals

Автор: Rohit Thanki; Komal Borisagar; Surekha Borra
Название: Advanced Compression and Watermarking Techniques for Speech Signals
ISBN: 331969068X ISBN-13(EAN): 9783319690681
Издательство: Springer
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Цена: 7685.00 р.
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Описание: The performance of the proposed method is evaluated using various transform bases like Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), and Fast Discrete Curvelet Transform (FDCuT).

Watermarking Security

Автор: Bas
Название: Watermarking Security
ISBN: 9811005052 ISBN-13(EAN): 9789811005053
Издательство: Springer
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Цена: 9141.00 р.
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Описание: This book explains how to measure the security of a watermarking scheme, how to design secure schemes but also how to attack popular watermarking schemes. This book is useful to industrial practitioners who would like to increase the security of their watermarking applications and for academics to quickly master this fascinating domain.

Advances in Audio Watermarking Based on Singular Value Decomposition

Автор: Pranab Kumar Dhar; Tetsuya Shimamura
Название: Advances in Audio Watermarking Based on Singular Value Decomposition
ISBN: 3319147994 ISBN-13(EAN): 9783319147994
Издательство: Springer
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Цена: 9141.00 р.
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Описание: This book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data from unauthorized copying.

Watermarking Techniques for Copyright Protection of Videos

Автор: Kothari
Название: Watermarking Techniques for Copyright Protection of Videos
ISBN: 3319928368 ISBN-13(EAN): 9783319928364
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book provides copyright protection approaches for videos using watermarking. The various watermarking techniques using various transforms such as discrete cosine transform (DCT), discrete wavelet transform (DWT) and singular value decomposition (SVD) for videos are presented.

Informed Watermarking

Автор: Joachim Eggers; Bernd Girod
Название: Informed Watermarking
ISBN: 1461353203 ISBN-13(EAN): 9781461353201
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book deals with digital watermarking, which is defined by the authors of this book as the art of hiding auxiliary information in digital data in a secure, robust and imperceptible fashion.

Advances in Audio Watermarking Based on Matrix Decomposition

Автор: Pranab Kumar Dhar; Tetsuya Shimamura
Название: Advances in Audio Watermarking Based on Matrix Decomposition
ISBN: 3030157253 ISBN-13(EAN): 9783030157258
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1 discusses the application and properties of digital watermarking. Chapter 2 proposes a blind lifting wavelet transform (LWT) based watermarking method using fast Walsh Hadamard transform (FWHT) and singular value decomposition (SVD) for audio copyright protection. Chapter 3 presents a blind audio watermarking method based on LWT and QR decomposition (QRD) for audio copyright protection. Chapter 4 introduces an audio watermarking algorithm based on FWHT and LU decomposition (LUD). Chapter 5 proposes an audio watermarking method based on LWT and Schur decomposition (SD). Chapter 6 explains in details on the challenges and future trends of audio watermarking in various application areas.

Introduces audio watermarking methods for copyright protection and ownership protection;Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imperceptibility, robustness, and data payload;Discusses in details on the challenges and future research direction of audio watermarking in various application areas.

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