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Robustness enhancement of quantization based audio watermarking method using adaptive safe-band
Version 2 2024-06-03, 06:42Version 2 2024-06-03, 06:42
Version 1 2014-12-04, 17:33Version 1 2014-12-04, 17:33
conference contribution
posted on 2024-06-03, 06:42 authored by Iynkaran NatgunanathanIynkaran Natgunanathan, Yong XiangYong Xiang, Tianrui ZongTianrui Zong, Y XiangThis paper presents a novel adaptive safe-band for quantization based audio watermarking methods, aiming to improve robustness. Considerable number of audio watermarking methods have been developed using quantization based techniques. These techniques are generally vulnerable to signal processing attacks. For these conventional quantization based techniques, robustness can be marginally improved by choosing larger step sizes at the cost of significant perceptual quality degradation. We first introduce fixed size safe-band between two quantization steps to improve robustness. This safe-band will act as a buffer to withstand certain types of attacks. Then we further improve the robustness by adaptively changing the size of the safe-band based on the audio signal feature used for watermarking. Compared with conventional quantization based method and the fixed size safe-band based method, the proposed adaptive safe-band based quantization method is more robust to attacks. The effectiveness of the proposed technique is demonstrated by simulation results. © 2014 IEEE.
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Pagination
890-895Location
Sydney, N.S.W.Publisher DOI
Start date
2014-06-10End date
2014-06-14ISBN-13
9781479920037Language
engPublication classification
E Conference publication, E1 Full written paper - refereedCopyright notice
2014, IEEE Computer SocietyEditor/Contributor(s)
[Unknown]Title of proceedings
IEEE ICC 2014 - Communication and Information Systems Security SymposiumEvent
Communication and Information Systems Security. Symposium (2014 : Sydney, N.S.W.)Publisher
IEEE Computer SocietyPlace of publication
IEEE Computer SocietySeries
IEEE International Conference on CommunicationsUsage metrics
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