Advances in audio watermarking based on matrix decomposition /

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Bibliographic Details
Author / Creator:Dhar, Pranab Kumar, author.
Imprint:Cham, Switzerland : Springer, [2019]
Description:1 online resource (62 pages)
Language:English
Series:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
SpringerBriefs in electrical and computer engineering. Speech technology.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11873927
Hidden Bibliographic Details
Other authors / contributors:Shimamura, Tetsuya, author.
ISBN:9783030157265
3030157261
9783030157272
303015727X
3030157253
9783030157258
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from digital title page (viewed on May 22, 2019).
Summary: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.
Other form:Print version: Dhar, Pranab Kumar. Advances in Audio Watermarking Based on Matrix Decomposition. Cham : Springer, ©2019 9783030157258
Standard no.:10.1007/978-3-030-15726-5