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Original Articles

Logo Extraction from Audio Signals by Utilization of Internal Noise

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Pages 270-279 | Published online: 01 Sep 2014
 

Abstract

In this paper, a Dynamic Stochastic Resonance (DSR)-based watermark extraction technique in discrete cosine transform (DCT) domain has been presented for copyright protection of audio signals. Watermark as a logo is embedded into the most prominent peaks of the highest energy segment of the audio DCT coefficients. DSR has been used to improve the robustness of the extraction algorithm by utilizing the degradation that introduces during various signal processing and geometrical attacks. Tuning of the DCT coefficients of the watermarked signal by noise-induced resonance improves the authenticity of the watermarked signal. DSR is an iterative process due to which the effect of noise is suppressed and hidden information is enhanced. Response of the proposed extraction scheme suggests increased robustness against various attacks such as noise addition, cropping, re-sampling, re-quantization, MP3 compression, and echo without trading-off with visual quality of the watermarked logo. Comparison with the existing DCT, DWT, and SVD techniques shows the better performance in terms of correlation coefficient and visual quality of extracted watermark.

Additional information

Notes on contributors

Rajib Kumar Jha

Rajib Kumar Jha received his B.Tech. (Hons.) Degree in Electronics and Communication Engineering from Institute of Engineering and Technology (IET) Kanpur, CSJM University, India, in 2001. He obtained his M.Tech. and Ph.D. degree from Indian Institute of Technology Kharagpur, India in 2003 and 2010, respectively. Since July 2006, he is working as Assistant Professor in Indian Institute of Information Technology, Design and Manufacturing Jabalpur. He has published about 30 papers in international journals and conferences. His research interests include image processing, multimedia and use of stochastic resonance for image applications. Dr. Jha has received the prestigious National award for Best M.Tech. Thesis in 2003 from Indian Society for Technical Education, New Delhi, India. He is a member of IEEE. E-mail: [email protected]

Badal Soni

Badal Soni received his Bachelor’s degree (Hons.) in Computer Science and Engineering from Maharana Pratap College of Technology Gwalior, RGPV Bhopal (India) in 2010. He is currently pursuing Master of Technology in the Field of image processing and audio Watermarking from Indian Institute of Information Technology, Design and Manufacturing Jabalpur, India. His research interests include image processing, audio Watermarking and stochastic resonance-based image processing applications. E-mail: [email protected]

Kiyoharu Aizawa

Kiyoharu Aizawa received B.E., M.E. and Dr.E. in electrical engineering all from the University of Tokyo in 1983, 1985 and 1988, respectively. He is currently a Professor at the Department of Information and Communication Engineering of the University of Tokyo. He was a visiting assistant professor at University of Illinois from 1990 to 1992. His current research interests are in image processing and multimedia applications. Especially, he is currently interested in Life Log and 3D video technology. He received the 1987 Young Engineer Award and the 1990, 1998 Best Paper Award, the 1991 Achievement Award, 1999 Electronics Society Award from the IEICE Japan and the 1998 Fujio Frontier Award the 2002 Best Paper Award from ITE Japan. He received IBM Japan Science Prize 2002. He serves as Associate Editor of IEEE Trans. Image Processing and is on the Editorial Board of ACM TOMCCAP (Trans. Multimedia Computing, Communications and Applications) and the Journal of Visual Communications. He also served as Editor-in-Chief of ITE Journal and Associate Editor of IEEE Trans. on Circuit and Systems for Video Technology and IEEE Trans. Multimedia. He has served for many national and international conferences including IEEE ICIP, ACM Multimedia: He was the General Chair of ACM Multimedia 2012, IEEE VCIP 2012. He is a member of IEICE, ITE, IEEE and ACM. E-mail: [email protected]

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