Vai al contenuto principale della pagina

Advances in Audio Watermarking Based on Matrix Decomposition / / by Pranab Kumar Dhar, Tetsuya Shimamura



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Dhar Pranab Kumar Visualizza persona
Titolo: Advances in Audio Watermarking Based on Matrix Decomposition / / by Pranab Kumar Dhar, Tetsuya Shimamura Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (62 pages)
Disciplina: 676.28027
005.8
Soggetto topico: Signal processing
Image processing
Speech processing systems
Computational linguistics
Algorithms
Signal, Image and Speech Processing
Computational Linguistics
Algorithm Analysis and Problem Complexity
Persona (resp. second.): ShimamuraTetsuya
Nota di contenuto: Chapter1: Introduction -- Chapter2: LWT-Based Audio Watermarking Using FWHT and SVD -- Chapter3: Audio Watermarking Based on LWT and QRD -- Chapter4: Audio Watermarking Based on FWHT and LUD -- Chapter5: Audio Watermarking Based on LWT and SD -- Chapter6: Conclusions and Future Work.
Sommario/riassunto: 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.
Titolo autorizzato: Advances in Audio Watermarking Based on Matrix Decomposition  Visualizza cluster
ISBN: 3-030-15726-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910337617203321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, . 2191-737X