Publication detail

Perceptually Transparent & Robust Audio Watermarking Algorithm Using Multi Resolution Decomposition & Cordic QR Decomposition

GUPTA, A., KAUR, A., DUTTA, M., K., SCHIMMEL, J.

Original Title

Perceptually Transparent & Robust Audio Watermarking Algorithm Using Multi Resolution Decomposition & Cordic QR Decomposition

Type

conference paper

Language

English

Original Abstract

This paper proposes an audio watermarking algorithm having good balance between perceptual transparency, robustness, and payload. The proposed algorithm is based on Cordic QR decomposition and multi-resolution decomposition meeting all the necessary audio watermarking design requirements. The use of Cordic QR decomposition providesgood robustness and use of detailed coefficients of multiresolution decomposition help to obtain good transparency at high payload. Also, the proposed algorithm does not require original signal or the embedded watermark for extraction. The binary data embedding capacity of the proposed algorithm is 60.4 bps and the highest SNR obtained is 35.1380 dB. The results obtained in this paper show that the proposed method has good perceptual transparency, high payload and robustness under various audio signal processing attacks.

Keywords

Digital Watermarking; Information Security; Data Hiding; Multi Resolution Decomposition; Cordic QR Decomposition.

Authors

GUPTA, A., KAUR, A., DUTTA, M., K., SCHIMMEL, J.

Released

1. 7. 2019

Publisher

IEEE

Location

Budapest, Hungary

ISBN

978-1-7281-1864-2

Book

Proceedings of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP)

Pages from

313

Pages to

317

Pages count

5

URL

https://ieeexplore.ieee.org/document/8768894

BibTex

@inproceedings{BUT159935,
  author="Jiří {Schimmel}",
  title="Perceptually Transparent & Robust Audio Watermarking Algorithm Using Multi Resolution Decomposition & Cordic QR Decomposition",
  booktitle="Proceedings of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP)",
  year="2019",
  pages="313--317",
  publisher="IEEE",
  address="Budapest, Hungary",
  doi="10.1109/TSP.2019.8768894",
  isbn="978-1-7281-1864-2",
  url="https://ieeexplore.ieee.org/document/8768894"
}