Share Email Print
cover

Proceedings Paper

A novel scheme in audio watermarking using multi-objective genetic algorithm
Author(s): Abdul Majid; Tahir Javed; Tae-Sun Choi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, multi-objective genetic algorithm (MOGA) based novel watermarking scheme of audio signal is proposed. Using this MOGA scheme small size images are embedded efficiently as a digital watermark in the discrete wavelet domain of audio signal. The main advantage of proposed scheme is that it automatically selects the intensity of watermark for embedding in audio signal. As a result an optimal tradeoffs is obtained between two contradicting properties i.e. robustness and imperceptibility. The results obtained using the proposed MOGA technique show the embedded watermark is more robustness against common cropping and Gaussian noise attacks.

Paper Details

Date Published: 22 January 2010
PDF: 6 pages
Proc. SPIE 7500, ICMIT 2009: Mechatronics and Information Technology, 750010 (22 January 2010); doi: 10.1117/12.858253
Show Author Affiliations
Abdul Majid, Pakistan Institute of Engineering and Applied Sciences (Pakistan)
Gwangju Institute of Science and Technology (Korea, Republic of)
Tahir Javed, Allama Iqbal Open Univ. (Pakistan)
Tae-Sun Choi, Gwangju Institute of Science and Technology (Korea, Republic of)


Published in SPIE Proceedings Vol. 7500:
ICMIT 2009: Mechatronics and Information Technology
Jeha Ryu; Kil To Chong; Ryojun Ikeura; Qingkai Han, Editor(s)

© SPIE. Terms of Use
Back to Top