Intelligent Decoding for Mean Quantization Based Audio Watermarking in the Wavelet Transform Domain Conference Paper uri icon

abstract

  • In this paper, a robust audio watermarking system, using mean quantization in the wavelet transform domain, has been proposed. Since the data is embedded in both the low and high frequency bands, selection of the correct result from these two bands is very important. In this paper, an intelligent decoder using two stage multi layer perceptron (MLP) neural network is proposed. Using this scheme, the attack is detected during the decoding process and the decoder is adapted to the same attack in order to extract the watermark data correctly. The simulation results show that using the intelligent decoder, in comparison to the previous scheme, the performance of detection after common attacks, such as lowpass, MP3 compression, highpass, echo, resampling, amplifying etc, is increased. 2008 IEEE.

name of conference

  • 2008 IEEE International Symposium on Signal Processing and Information Technology

published proceedings

  • ISSPIT: 8TH IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY

author list (cited authors)

  • Kalantari, N. K., & Ahadi, S. M.

citation count

  • 1

complete list of authors

  • Kalantari, Nima Khademi||Ahadi, Seyed Mohammad

publication date

  • December 2008