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The rapid growth of Internet and digital multimedia has made the authority and integrity of audio information more and more important issues. To protect digital works against illegal use and tampering, the digital audio watermarking... more
The rapid growth of Internet and digital multimedia has made the authority and integrity of audio information more and more important issues. To protect digital works against illegal use and tampering, the digital audio watermarking technique has been presented and widely researched. In this paper, a new multipurpose audio watermarking method is proposed. The region of interest (ROI) audio and
In this paper, we propose a new digital audio watermarking technique with the wavelet transform. The watermark is embedded by eliminating unnecessary information of audio signal based on human auditory system (HAS). This algorithm is an... more
In this paper, we propose a new digital audio watermarking technique with the wavelet transform. The watermark is embedded by eliminating unnecessary information of audio signal based on human auditory system (HAS). This algorithm is an audio watermarking method, which does not require any original audio information in watermark extraction process. In this paper, the masking effect is used for audio watermarking, that is, post-temporal masking effect. We construct the window with the synchronization signal and we extract the best frame in the window by using the zero-crossing rate (ZCR) and the energy of the audio signal. The watermark may be extracted by using the correlation of the watermark signal and the portion of the frame. Experimental results show good robustness against MPEG1-layer3 compression and other common signal processing manipulations. All the attacks are made after the D/A/D conversion.
In this paper, a novel highly confidential audio watermarking scheme using multiple scrambling is presented. Superior to other techniques, the new scheme is self-secured by integrating multiple scrambling operations into the embedding... more
In this paper, a novel highly confidential audio watermarking scheme using multiple scrambling is presented. Superior to other techniques, the new scheme is self-secured by integrating multiple scrambling operations into the embedding stage. To ensure that unauthorized detection without correct secret keys is nearly impossible, the following have been made. The watermark is encrypted by a coded-image; certain subbands are randomly selected from the total subbands for embedding and their order of coding is further randomised. In addition, adaptive synchronization is used to improve the robustness against hazardous synchronization attacks, such as random samples cropping/inserting, pitch-invariant time stretching and tempo-preserved pitch shifting. Our goal is to make the watermark impossible to be detected and robust even though the watermarking algorithm is open to the public. Experimental results of listening evaluation and robustness tests have demonstrated that the proposed scheme preserves transparent perception and also possesses strong resistance to typical attacks on audio watermarking.
... Section 2 for the definition) to overcome the described difficulties in the audio watermarking. ... transform to the data block and then detects the watermark in the transformed data block(See ... eg, a DCT-based patchwork algorithm... more
... Section 2 for the definition) to overcome the described difficulties in the audio watermarking. ... transform to the data block and then detects the watermark in the transformed data block(See ... eg, a DCT-based patchwork algorithm [7]), the proposed method does not need the DWT of ...
Audio watermarking is a method that embeds inaudible information into digital audio data. This paper describes an audio watermarking scheme using the Least Significant Bit (LSB) in the multiresolution domain exploiting the perceptual... more
Audio watermarking is a method that embeds inaudible information into digital audio data. This paper describes an audio watermarking scheme using the Least Significant Bit (LSB) in the multiresolution domain exploiting the perceptual evaluation of audio quality algorithm (PEAQ) and MP3 compression characteristics. To guarantee perfect inaudibility propriety, we adapt the PEAQ algorithm to select the adequate audio band used to hide the watermark in the LSB of the multiresolution coefficients. Additionally, we use some MP3 compression characteristics to increase robustness of the scheme and we duplicate the watermark bits in the whole audio signal blocks assuring then an important ratio property without affecting the inaudibility property. The described method provides good robustness results against compression and StirMark attacks. Besides, it allows blind retrieval of embedded watermark which does not need the original audio.
This paper proposes a novel fragile watermarking scheme for audio content authentication. The chaotic mapping based watermark information is embedded in the principal component of the detail wavelet coefficients of the host audio based on... more
This paper proposes a novel fragile watermarking scheme for audio content authentication. The chaotic mapping based watermark information is embedded in the principal component of the detail wavelet coefficients of the host audio based on the instantaneous mixing model of independent component analysis system. The watermark can be extracted with Fast ICA technique, blindly. Experimental results demonstrate that the proposed scheme achieves excellent transparency, good fragility, and accurate tampering detection.