Digital audio watermarking scheme using Harmony Search Algorithm

Harmony Search Algorithm is one of the best optimization algorithm known, due to its capability of escaping the local optima and divergence free behaviour. In this paper, an optimized audio watermarking technique based on harmony search algorithm is presented. The watermark is embedded using dither modulation of the host audio signal blocks. High imperceptibility is proved to be achieved by the proposed technique through subjective test. Moreover, the technique is quite robust against variety of attacks including resampling attack, low-pass filtering, requantization and cropping effect. To improve the robustness and imperceptibility, harmony search technique has been applied on user defined quantization parameter.

[1]  Jiwu Huang,et al.  Efficiently self-synchronized audio watermarking for assured audio data transmission , 2005, IEEE Transactions on Broadcasting.

[2]  Indranil Sengupta,et al.  An adaptive audio watermarking based on the singular value decomposition in the wavelet domain , 2010, Digit. Signal Process..

[3]  Zong Woo Geem,et al.  A survey on applications of the harmony search algorithm , 2013, Eng. Appl. Artif. Intell..

[4]  Zong Woo Geem,et al.  A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..

[5]  Ankur Choudhary,et al.  Schur decomposition and dither modulation: an efficient and robust audio watermarking technique , 2012, CUBE.

[6]  Ee-Leng Tan,et al.  Robust SVD-Based Audio Watermarking Scheme With Differential Evolution Optimization , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[7]  Zhen Li,et al.  A particle swarm optimization based audio watermarking scheme , 2011, 2011 8th International Conference on Information, Communications & Signal Processing.

[8]  Saban Ozer,et al.  A novel fragile watermarking based on Particle Swarm Optimization , 2008, 2008 IEEE International Conference on Multimedia and Expo.

[9]  Huang-Nan Huang,et al.  Wavelet-domain audio watermarking scheme using optimisation-based quantisation , 2010 .

[10]  A. Das,et al.  Audio Watermarking Based on Mean Quantization in Cepstrum Domain , 2008, 2008 16th International Conference on Advanced Computing and Communications.