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Advances in Audio Watermarking Based on Singular Value Decomposition

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Audio Watermarking Based on Singular Value Decomposition/ by Pranab Kumar Dhar, Tetsuya Shimamura.
作者:	Dhar, Pranab Kumar.
其他作者:	Shimamura, Tetsuya.
面頁冊數:	XVIII, 58 p. 26 illus., 18 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Signal processing. -
電子資源:	https://doi.org/10.1007/978-3-319-14800-7
ISBN:	9783319148007

Advances in Audio Watermarking Based on Singular Value Decomposition
Dhar, Pranab Kumar.

Advances in Audio Watermarking Based on Singular Value Decomposition[electronic resource] /by Pranab Kumar Dhar, Tetsuya Shimamura. - 1st ed. 2015. - XVIII, 58 p. 26 illus., 18 illus. in color.online resource. - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,2191-737X. - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,.

Introduction -- Background Information -- DWT-DCT-Based Audio Watermarking Using SVD -- FFT-Based Audio Watermarking Using SVD and CPT -- Conclusions.

This book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data from unauthorized copying. The book is divided into two parts. First, an audio watermarking method in discrete wavelet transform (DWT) and discrete cosine transform (DCT) domains using singular value decomposition (SVD) and quantization is introduced. This method is robust against various attacks and provides good imperceptible watermarked sounds. Then, an audio watermarking method in fast Fourier transform (FFT) domain using SVD and Cartesian-polar transformation (CPT) is presented. This method has high imperceptibility and high data payload and it provides good robustness against various attacks. These techniques allow media owners to protect copyright and to show authenticity and ownership of their material in a variety of applications. · Features new methods of audio watermarking for copyright protection and ownership protection · Outlines techniques that provide superior performance in terms of imperceptibility, robustness, and data payload · Includes applications such as data authentication, data indexing, broadcast monitoring, fingerprinting, etc.

ISBN: 9783319148007

Standard No.: 10.1007/978-3-319-14800-7doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Advances in Audio Watermarking Based on Singular Value Decomposition
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