Peak Detection based Spread Spectrum Audi Watermarking using Discrete Wavelet Transform
Author(s) -
Neha Baranwal,
Kamalika Datta,
Bismita Gadanayak
Publication year - 2011
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/2916-3842
Subject(s) - computer science , discrete wavelet transform , digital watermarking , wavelet , spectrum (functional analysis) , wavelet transform , artificial intelligence , pattern recognition (psychology) , algorithm , physics , image (mathematics) , quantum mechanics
This paper proposes a robust spread spectrum based audio watermarking scheme using Discrete wavelet transform (DWT). Here we use a peak detection algorithm to obtain high robustness. In this watermarking scheme, watermarks are embedded into the peak value of detail coefficients of, transformed audio signal. It is a blind watermarking technique which is used for providing copyright protection and content authentication for digital content. Tests shows that the proposed watermarking scheme is robust against signal processing attacks like resampling, requantization, MP3 compression, noise addition. Performance of this technique is analyzed by calculating the percentage match and SNR values.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom