Design of a blind quantization-based audio watermarking scheme using singular value decomposition

Bhat, Vivekananda K and Das, Ashok Kumar (2018) Design of a blind quantization-based audio watermarking scheme using singular value decomposition. Concurrency Computation Practice and Experience. ISSN 1532-0626

[img] PDF
6433.pdf - Published Version
Restricted to Registered users only

Download (431kB) | Request a copy
Official URL: http:/


Watermarking is a mechanism in which owner of the audio file hides the watermark information into a audio for various applications. The identity of the owner of the audio file is hidden in the audio, which is known as watermark. In this article, a quantization-based audio watermarking using singular value decomposition (SVD) is proposed. The original audio signal is converted into non overlapping two dimensional matrix blocks. The SVD is applied to each block. The watermark is embedded into audio signal by quantization of largest singular value of the block. The watermark is extracted blindly without using original audio signal. Experimental results show the watermark's high imperceptibility in the audio signal and good performance against Stirmark as well as traditional signal processing attacks. Compared with other audio watermarking methods, our method has higher embedding capacity and robust against various traditional signal processing attacks

Item Type: Article
Uncontrolled Keywords: audio watermarking, quantization, security, singular value decomposition
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 08 Apr 2019 08:54
Last Modified: 08 Apr 2019 08:54

Actions (login required)

View Item View Item