NDLI: DCT Based blind audio watermarking scheme

Content Provider	IEEE Xplore Digital Library
Author	Maha, Charfeddine Maher, Elarbi Mohamed, Koubaa Chokri, Ben Amar
Copyright Year	2010
Description	Author affiliation: REGIM, Research Group on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), BP 1173, 3038, Tunisia (Maha, Charfeddine; Maher, Elarbi; Mohamed, Koubaa; Chokri, Ben Amar)
Abstract	During these recent years, different digital audio media are available due to internet and audio processing techniques. This is beneficial to our daily life but it brings the problem of ownership protection. As a solution, audio watermarking technique has been quickly developed. It consists of embedding information into digital audio data. This paper proposes an audio watermarking scheme operating in frequency domain using Discrete Cosine transforms (DCT). We take the advantage of hiding the mark in the frequency domain to guarantee robustness. To increase robustness of our schemes, the watermark is refined by the Hamming error correcting code. We study the band used to hide the watermark bits according essentially to the effects of the MP3 compression on the watermarked audio signal. To assure watermark embedding and extraction, we use neural network architecture. Experimental results show that the watermark is imperceptible and the algorithm is robust to many attacks like MP3 compression with several compression rates and various Stirmark attacks. Furthermore, the watermark can be blind extracted without needing the original audio.
Starting Page	139
Ending Page	144
File Size	260689
Page Count	6
File Format	PDF
ISBN	9789898425195
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-26
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	INSTICC
Subject Keyword	Neural Network Discrete Cosine Transforms Watermarking Artificial neural networks Robustness Data Security Discrete cosine transforms Hamming Codes Digital audio players Signal to noise ratio
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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