Abstract
In this paper, an algorithm has been proposed to provide security to digital songs through wavelet transform with the help of a secure image embedded with coefficients of it without changing audible quality. Sampling the hidden image with the help of amplitude coding for generating lower magnitude values is the first phase of proposed technique followed by fabrication of authenticating code by embedding into lower magnitude values with selected coefficients of song signal generated via wavelet transform [symmetrization mode]. The embedded hidden secure image as well as authenticating code is used to detect and identify the original song from similar available songs. A comparative study has been made with similar existing techniques and experimental results are also supported with mathematical formula based on Microsoft WAVE (“.wav”) stereo sound file.
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© 2012 Springer-Verlag Berlin Heidelberg
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Mondal, U.K., Mandal, J.K. (2012). Secret Image Embedded Authentication of Song Signal through Wavelet Transform (IAWT). In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31513-8_20
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DOI: https://doi.org/10.1007/978-3-642-31513-8_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31512-1
Online ISBN: 978-3-642-31513-8
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