Digital watermarking is a technique that consists in hiding binary information within a signal in an imperceptibly way. This technique plays an important role for copyright protection of multimedia data. In this paper an efficient robust audio watermarking algorithm based on double transforms is introduced. In a first step, the original signal is decomposed by discrete wavelet transform (DWT). Then the prominent approximation coefficients are segmented in non-overlapping 2D blocks. Singular value decomposition (SVD) is applied on each one. The watermark is embedded in the singular values (SVs) for each block. Watermark extraction is non-blind and it's done by performing inverse operation of embedding process. Experimental results show that this scheme provides high robustness against common signal processing attacks such as noise addition, resampling, filtering, MP3 compression and maintains good perceptual transparency. In addition, this method use a double key for insertion and extraction, making it suitable for secure application such as copyright protection.
Digital watermarking consists in embedding imperceptible information into a host signal. It has been proposed to solve problems as varied as the protection of the copyright, content authentication, fingerprinting and broadcast monitoring. This paper presents a new approach for audio watermarking using the QR factorization in wavelet domain. This approach is based on embedding a watermark binary image in the R matrices of low frequency blocks DWT coefficients of audio signal. In this algorithm, the watermark is embedded by applying a Quantization Index Modulation (QIM) process on the determined optimal sample for each matrix R. The watermark can be blindly extracted without the knowledge of the original audio signal. Experimental results show that the proposed audio watermarking scheme maintains high quality of the audio signal. Signal to Noise Ratio (SNR), Log Spectral Distortion (LSD) and Mean Opinion Score (MOS) are about 40 dB, 0.37 dB and 4.84, respectively. Moreover, the scheme is quite robust against common signal processing attacks such as noise addition, filtering and MP3 compression. In addition, this method ensures a secure extraction process by using a private key, making it suitable for secure applications such as copyright protection.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.