Visible to the public Biblio

Filters: Keyword is binary data embedding capacity  [Clear All Filters]
2020-07-03
Gupta, Arpit, Kaur, Arashdeep, Dutta, Malay Kishore, Schimmel, Jiří.  2019.  Perceptually Transparent Robust Audio Watermarking Algorithm Using Multi Resolution Decomposition Cordic QR Decomposition. 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). :313—317.

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 provides good robustness and use of detailed coefficients of multi-resolution 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 960.4 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.