Audio watermarking using transformation techniques. Watermarking is a technique, which is used in protecting digital information like images, videos and audio as it provides copyrights and ownership. Audio watermarking is more challenging than image watermarking due to the dynamic supremacy of hearing capacity over the visual field. The underlying system involves the statistical characteristics of the signal. This study considers different wavelet filters and quantization techniques. A comparison is performed on diverge algorithms and audio signals to help examine the performance of the proposed method.
DWT based Invisible Image Encryption & Decryption Algorithm Design
Image Watermarking Based Projects | All Mtech Projects
The commonly present disadvantages in traditional watermarking techniques such as inability to withstand attacks are absent in SVD based algorithms. They offer a robust method of watermarking with minimum or no distortion. Thus all the three desirable properties can be utilized to create a new robust watermarking technique. This method ofwatermarking is found to be robust and the visual watermark is recoverable without only reasonable amount of distortion even in the case of attacks. Thus the method can be used to embed copyright information in the form of a visual watermark or simple text. Digital watermarking capacity research. A novel public watermarking system based on advanced encryption system.
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Abstract:- Digital watermarking has been proposed as a new, alternative method to enforce intellectualproperty rights and protect digital media from tampering. Digital watermarking is defined as imperceptible, robust and secure communication of data related to the host signal, which includes embedding into and extraction from the host signal. The main challenge in digital audio watermarking is that if the perceptual transparency parameter is fixed, the design of a watermark system cannot obtain high robustness and a high watermark data rate at the same time. The watermark and the synchronization codes are embedded into the extrema of the last IMF, a low frequency mode stable under different attacks and preserving audio perceptual quality of the host signal. Relying on exhaustive simulations, we show the robustness of the hidden watermark for various types of attacks and different types of noises such as additive noise, Gaussian noise, Salt and pepper noise.