By Pranab Kumar Dhar, Tetsuya Shimamura
This ebook introduces audio watermarking tools for copyright safeguard, which has drawn wide recognition for securing electronic info from unauthorized copying. The ebook is split into components. First, an audio watermarking procedure in discrete wavelet rework (DWT) and discrete cosine rework (DCT) domain names utilizing singular price decomposition (SVD) and quantization is brought. this system is powerful opposed to a number of assaults and offers sturdy imperceptible watermarked sounds. Then, an audio watermarking process 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 offers reliable robustness opposed to numerous assaults. those concepts permit media vendors to guard copyright and to teach authenticity and possession in their fabric in numerous functions.
· positive factors new tools of audio watermarking for copyright defense and possession protection
· Outlines recommendations that offer improved functionality when it comes to imperceptibility, robustness, and information payload
· comprises functions similar to info authentication, information indexing, broadcast tracking, fingerprinting, etc.
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Additional info for Advances in Audio Watermarking Based on Singular Value Decomposition
1; 1/. 1; 1/. 2) where C1 and C2 are user-defined constants. 3) Each matrix Ri0 is then reshaped to create the modified matrix Yi0 by performing the inverse operation of step 5. Step 9: The inverse DCT is performed on the modified matrix Yi0 to obtain the matrix Hi0 which contains the modified detailed coefficients D10 and D20 . Step 10: After substituting the coefficients D10 and D20 for D1 and D2 , respectively, a two-level inverse DWT is performed to obtain the watermarked audio frame. Step 11: Finally, all watermarked frames are concatenated to calculate the watermarked audio signal.
2. 0 for all watermarked sounds using the proposed method, indicating that original and watermarked audio signals are perceptually indistinguishable. In addition, the ABX method, which is another subjective quality assessment technique, was employed to investigate the sound quality of the watermarked audio signal. The participants were ten male and female persons with normal hearing ability. In this test, the original audio signal ‘A’ and the watermarked audio signal ‘B’ were presented to each participant.
1 Imperceptibility Test The imperceptibility of the watermarked audio signal is evaluated using a subjective listening test and an objective test. 1 0 50 DWT domain 50 100 Fig. 2 0 50 100 150 200 DWT Domain Fig. 2 0 50 100 150 DCT domain 200 250 Fig. 2 0 50 100 150 DCT domain 200 Fig. 1 SDG 5 4 3 2 1 ODG 0 1 2 3 4 Description Imperceptible Perceptible, but not annoying Slightly annoying Annoying Very annoying Quality Excellent Good Fair Poor Bad Subjective Listening Test The subjective difference grade (SDG) is one of the most widely used subjective methods for evaluating the quality of a watermarked audio signal.
Advances in Audio Watermarking Based on Singular Value Decomposition by Pranab Kumar Dhar, Tetsuya Shimamura