期刊全称 | Advances in Audio Watermarking Based on Matrix Decomposition |
影响因子2023 | Pranab Kumar Dhar,Tetsuya Shimamura |
视频video | http://file.papertrans.cn/147/146811/146811.mp4 |
发行地址 | Introduces audio watermarking methods for copyright protection and ownership protection.Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imp |
学科分类 | SpringerBriefs in Speech Technology |
图书封面 |  |
影响因子 | 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.. |
Pindex | Book 2019 |