By Pranab Kumar Dhar, Tetsuya Shimamura
This booklet introduces audio watermarking tools for copyright safety, which has drawn vast awareness for securing electronic info from unauthorized copying. The e-book is split into components. First, an audio watermarking procedure in discrete wavelet rework (DWT) and discrete cosine remodel (DCT) domain names utilizing singular worth decomposition (SVD) and quantization is brought. this technique is strong opposed to a number of assaults and offers sturdy imperceptible watermarked sounds. Then, an audio watermarking approach in speedy Fourier remodel (FFT) area utilizing SVD and Cartesian-polar transformation (CPT) is gifted. this system has excessive imperceptibility and excessive facts payload and it presents strong robustness opposed to quite a few assaults. those recommendations enable media vendors to guard copyright and to teach authenticity and possession in their fabric in numerous purposes.
· gains new equipment of audio watermarking for copyright security and possession protection
· Outlines innovations that supply enhanced functionality when it comes to imperceptibility, robustness, and knowledge payload
· contains functions resembling information authentication, facts indexing, broadcast tracking, fingerprinting, etc.
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Additional resources for Advances in Audio Watermarking Based on Singular Value Decomposition
1 ; 2 ; : : : :; d / of each matrix Si are calculated using the following equations: ui D d 1X d cD1 c d 1X . 7) where c is the index of diagonal element of each matrix Si . 9) where Â1 and Â2 are the predefined angle of decomposition. For consistency between Dix and Diy , and Eix and Eiy the selected value for Â1 and Â2 is 45ı . 2; 2/ of each matrix Si are preserved to utilize in detection process and are used as secret key K2 . Step 7: The binary watermark image is encrypted using a Gaussian map (described in Sect.
9272, respectively, demonstrating the high robustness of our proposed method against different attacks. This is because watermark bits are embedded into the CPT components of the highest singular values of the low frequency FFT coefficients of each audio frame. 3 Security Robustness against attack is very important for a secured watermarking method. To enhance the security, the proposed method utilizes chaotic encryption. Since the proposed watermark embedding and detection processes depend on the secret keys K1 and K2 , it is impossible to maliciously detect the watermark without these keys.
9 gives PF NE D 1:3566 10 80 . 0; 100, which indicates that the FNE probability approaches 0 when k is larger than 20. 02 0 0 20 40 60 80 100 k Fig. 4 Data Payload The data payload (also known as the capacity) of a watermarking method is defined as the number of bits that can be embedded into the original audio signal within a unit of time and is measured in bits per second (bps). 10) Usually, the data payload for any watermarking method should be more than 20 bps . 39 bps. 5, which is based on the reported results in [8, 28, 29, 33, 62, 65, 66].