Hua Guang - Digital Audio Watermarking: Fundamentals, Techniques and Challenges
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- Book:Digital Audio Watermarking: Fundamentals, Techniques and Challenges
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- Imperceptibility. Except for the special type of perceptible image watermarking, imperceptibility is probably the most primary concern of a watermarking system. It characterizes how the watermarking system could manage the distortion of original cover content caused by watermark embedding. In audio watermarking, terms such as fidelity, inaudibility, transparency and distortion , refer to the similar concept. We will stick to the term imperceptibility in this book as it more precisely reflects the relationship between embedding distortion and human perception. For image and audio watermarking, imperceptibility is achieved via exploiting the characteristics of human visual system (HVS) and human auditory system (HAS) respectively.
- Robustness. The watermarked content, when released to end users, may undergo uncontrollable processing or even malicious attacks, before we attempt to extract the watermarks from the content. Therefore, it is essentially important for the watermarks to be robust against unintentional or malicious attacks. Typical unintentional attacks include A/D and D/A conversion, equalization, re-encoding, etc., while malicious attacks could be nonlinear scaling, tampering, and so on. Besides, a certain attack could be caused either unintentionally or intentionaly. For example, desynchronization effects could be caused by either A/D and D/A conversion or malicious scaling. Also note that robustness is the most complicated performance criterion for a watermarking system.
- Security. In order not to confuse security with robustness, we confine the concept of watermarking security as the systems capability of preventing unauthorized party to access the watermarking channel, i.e., the systems capability of preventing unauthorized watermarking key detection and watermark extraction. This means that when security is concerned, the adversarys aim is assumed to be watermarking key detection and watermark extraction only, not including watermark removal. Unlike imperceptibility and robustness, the security of audio watermarking systems has been less studied, while the main component to ensure security is the pseudo-random noise (PN) which serves as the key.
- Capacity. The watermarks to be embedded in a given cover content is also called payload. The maximum size of payload, usually in terms of bits, is termed capacity. Since audio signal is a function of time and most audio watermarking schemes segment audio signal into frames before watermark embedding, the embedding capacity could also be characterized by embedding rate with the unit of bits per second or bits per frame.
- Computational Complexity. At last, an audio watermarking system is preferable to be more computationally efficient when it is designed for real-time applications such as broadcast monitoring and second screen systems.
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