Secret Image Embedded Authentication of Song Signal through Wavelet Transform (IAWT)

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 176)

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.

Keywords

Average absolute difference (AD) maximum difference (MD) mean square error (MSE) normalized average absolute difference (NAD) normalized mean square error (NMSE) sampling image wavelet transform 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Dept. of CSE & ITCollege of Engg. & Management, KolaghatMidnapurIndia
  2. 2.Dept. of CSEUniversity of KalyaniNadiaIndia

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