Perceptually Transparent Robust Audio Watermarking Algorithm Using Multi Resolution Decomposition Cordic QR Decomposition
| Title | Perceptually Transparent Robust Audio Watermarking Algorithm Using Multi Resolution Decomposition Cordic QR Decomposition |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Gupta, Arpit, Kaur, Arashdeep, Dutta, Malay Kishore, Schimmel, Jiří |
| Conference Name | 2019 42nd International Conference on Telecommunications and Signal Processing (TSP) |
| Date Published | 25 July 2019 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-1864-2 |
| Keywords | audio coding, audio signal processing attacks, audio watermarking, AWGN, binary data embedding capacity, compositionality, cordic QR decomposition, cyber physical systems, data hiding, decomposition, digital watermarking, embedded watermark, Information security, Metrics, Multi Resolution Decomposition, multiresolution decomposition, Payloads, perceptual transparency, pubcrawl, robust audio watermarking algorithm, Robustness, Signal processing algorithms, Signal resolution, Signal to noise ratio, Watermarking |
| 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 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. |
| URL | https://ieeexplore.ieee.org/document/8768894 |
| DOI | 10.1109/TSP.2019.8768894 |
| Citation Key | gupta_perceptually_2019 |
- information security
- Watermarking
- Signal to noise ratio
- Signal resolution
- Signal processing algorithms
- Robustness
- robust audio watermarking algorithm
- pubcrawl
- perceptual transparency
- Payloads
- multiresolution decomposition
- Multi Resolution Decomposition
- Metrics
- audio coding
- embedded watermark
- digital watermarking
- decomposition
- data hiding
- cyber physical systems
- cordic QR decomposition
- Compositionality
- binary data embedding capacity
- AWGN
- audio watermarking
- audio signal processing attacks