Detail publikace

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

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

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

1. 7. 2019

Nakladatel

IEEE

Místo

Budapest, Hungary

ISBN

978-1-7281-1864-2

Kniha

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

Strany od

313

Strany do

317

Strany počet

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"
}