A novel Hybrid Inaudible Audio Watermarking with Binary Image as Watermark using DWT
Digital audio watermarking has become an important technique for copyright protection and secured data communication. There are numerous algorithms evolving in audio watermarking. We propose a novel hybrid inaudible algorithm for watermarking audio signals using Discrete Wavelet Transform (DWT). In our proposed algorithm we are using audio signal as host information and binary image as watermark. The multi resolution properties of DWT properties like transpose, flip, rotation, scaling and translation invariance are making the watermarking process robust and more capacitive (to hold large amounts of information).Our spread spectrum based embedding algorithm is verified for various watermarking coefficients (α) and proposed to have to variable α according to quantization levels of host information instead of single value.
Our proposed algorithm is tested for various types of music signals with varying bit rates as host information and binary image as watermark. The proposed algorithm is tested and found very robust to filtering, extra noise, resampling, quantization and MP3 compression attacks. In this paper we also compare the performance of our algorithm with existing DWT based, techniques in information capacity(PSNR) and robustness (Normalized Correlation Coefficient).
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