High-capacity and Transparent Digital Audio Watermarking using Rounding Reduced-arc MPSK and a Genetic Algorithm

다국어 초록 (Multilingual Abstract)

In this paper, a novel, high-capacity and transparent blind audio watermarking system based on rounding reduced-arc M-ary phase shift keying (MPSK) is presented. Signal samples of the audio file are divided into several frames and then transformed into the frequency domain using fast Fourier transform. The watermark is embedded in the phase element of the selected samples based on several criteria. Two modified modulation schemes (256-PSK and binary phase shift keying) are used for the embedding process to compare the effects of the M-ary number used in the system. To improve the system, a genetic algorithm is utilized to obtain the best embedding parameters, which produces the optimal output based on the perceptual quality of the watermarked audio and the robustness of the extracted watermark. Experimental results show that the proposed audio watermarking system produces high-quality watermarked audio while loading a huge amount of data.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Related Works
• 3. Reduced-Arc MPSK
• 4. Proposed Audio Watermarking System
• 5. Watermarking Capacity
• 6. Simulation Results
• 7. Conclusion
• References

참고문헌 (Reference)

1 M. Fallahpour, "Transparent high capacity audio watermarking in wavelet domain" 242-247, 2015

2 G. Hua, "Time-spread echo-based audio watermarking with optimized imperceptibility and robustness" 23 : 227-239, 2015

3 V. Santhi, "Stego-audio using genetic algorithm approach" 7 (7): 4806-4812, 2014

4 H. -T. Hu, "Robust, transparent and high-capacity audio watermarking in dct domain" 109 : 226-235, 2015

5 X. Liang, "Robust blind extracting audio watermarking based on quadrature phase shift keying and improved spread spectrum" 824-828, 2015

6 N. M. Ngo, "Robust and reliable audio watermarking based on dynamic phase coding and error control coding" 2276-2280, 2015

7 I. Natgunanathan, "Patchwork-based multilayer audio watermarking" 25 : 2176-2187, 2017

8 J. J. Garcia-Hernandez, "High payload data-hiding in audio signals based on a modified ofdm approach" 40 (40): 3055-3064, 2013

9 M. Fallahpour, "High capacity audio watermarking using the high-frequency band of the wavelet domain" 52 : 485-498, 2011

10 Arashdeep Kaur, "High Embedding Capacity and Robust Audio Watermarking for Secure Transmission Using Tamper Detection" 한국전자통신연구원 40 (40): 133-145, 2018

11 M. Zamani, "Genetic algorithm for fragile audio watermarking" 59 : 291-304, 2015

12 R. R. Ginanjar, "Enhanced Digital Audio Watermarking using Genetic Algorithm" 272-275, 2018

13 S. M. Mohsenfar, "Audio watermarking method using qr decomposition and genetic algorithm" 74 : 759-779, 2015

14 M. Fallahpour, "Audio watermarking based on fibonacci numbers" 23 : 1273-1282, 2015

15 I. Safitri, "Adaptive multilevel wavelet bch code method in the audio watermarking system" 55-59, 2017

16 A. Kaur, "A heuristic algorithmic approach to challenging robustness of digital audio watermarking using discrete wavelet transform" 519-522, 2016