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2020 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

Advanced Techniques for Audio Watermarking

verfasst von: Dr. Rohit M. Thanki

Verlag: Springer International Publishing

Buchreihe : Signals and Communication Technology

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
With the sharing of audio signals over an Internet or communication channel, the security of these signals is required against unauthorized access of it. Therefore, the copyright protection of audio signals plays an important role in the effective sharing of the signal over an open-access medium. The watermarking is one of the techniques which provide copyright protection of audio signals. This chapter presents an overview of digital watermarking, classification of the watermarking, and basic requirement of it.
Rohit M. Thanki
Chapter 2. Mathematical Preliminaries
Abstract
This chapter presents various mathematical preliminaries which are used for performing watermarking methods for different embedding and extraction processes. This chapter presents some commonly used terminologies used in watermarking, including basic types of audio signals, discrete cosine transform, discrete wavelet transform, singular value decomposition, fast discrete curvelet transform, finite ridgelet transform, non-subsampled contourlet transform, random noise generator, Arnold scrambling, compressive sensing (cs)-based encryption, audio watermarking attacks, and evaluation parameters for audio watermarking.
Rohit M. Thanki
Chapter 3. Fundamental of Audio Watermarking
Abstract
Audio watermarking is used for such audio signal security as copyright protection and authentication. In audio watermarking, watermark is embedded into a host audio signal in such a way that the embedding content doesn’t get identified. At the same time, the embedded watermark must be robust enough against various audio watermarking attacks. The generalized watermarking framework is given by Podilchuk and Delp [1]. This chapter presents the fundamentals audio watermarking techniques such as spatial domain, transform domain, and hybrid domain.
Rohit M. Thanki
Chapter 4. Blind Audio Watermarking
Abstract
The blind audio watermarking is one of the important techniques where the original audio signal is not required for extraction of watermark image from the watermarked audio signal. In this chapter, the blind audio watermarking techniques in the spatial domain, transform domain, and hybrid domain are discussed. Also, the audio watermarking techniques using advanced signal transforms such as stationary wavelet transform (SWT) and fast discrete curvelet transform (FDCuT) are discussed with its experimental results.
Rohit M. Thanki
Chapter 5. Audio Watermarking with Encryption
Abstract
Up to this point, the basic audio watermarking techniques in the various domains with its results and properties are discussed. In these all techniques, watermark image is directly inserted into sample values or transform coefficients of host audio signal. In this chapter, the audio watermarking techniques with encryption are discussed with its various properties and results. The two types of encryption such as Arnold scrambling and compressive sensing (CS) based are used in these techniques. This is an advanced audio watermarking technique where the host audio signal or watermark image is in its encrypted domain. The various types of approaches for audio watermarking are explained by researchers in the literature [1–5].
Rohit M. Thanki
Chapter 6. Optimization-Based Audio Watermarking
Abstract
The fixed and user-defined scaling factor α is defined and used in presented audio watermarking in earlier chapters. Due to this, sometimes, the good tradeoff between perceptual transparency and robustness can’t be achieved. Thus, optimization techniques with watermarking are introduced by researchers for optimization of scaling factor. In this chapter, the overview of optimization and bioinspired-based optimization algorithms are discussed. The working of genetic algorithm (GA), particle swarm optimization (PSO), and simulated annealing (SA) are presented with its working. The optimized audio watermarking using GA, PSO, and SA are also presented with its experimental results.
Rohit M. Thanki
Chapter 7. Summary of Book
Abstract
This chapter gives concluding remarks of this book with a brief summary of presented audio watermarking. The future research direction in this research area is also discussed in this chapter.
Rohit M. Thanki
Backmatter
Metadaten
Titel
Advanced Techniques for Audio Watermarking
verfasst von
Dr. Rohit M. Thanki
Copyright-Jahr
2020
Electronic ISBN
978-3-030-24186-5
Print ISBN
978-3-030-24185-8
DOI
https://doi.org/10.1007/978-3-030-24186-5

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