A blind audio watermarking technique based on a parametric quantization index modulation

In this paper, we propose an efficient transform-based blind audio watermarking technique by introducing a parametric quantization index modulation (QIM). Theoretical expressions for the signal to watermark ratio and probability of error are derived and then used in an optimization technique based o...

Full description

Saved in:
Bibliographic Details
Published in:Multimedia tools and applications 2018-10, Vol.77 (19), p.25681-25708
Main Authors: Terchi, Younes, Bouguezel, Saad
Format: Article
Language:English
Subjects:
Codes
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Embedding
Lagrange multiplier
Low pass filters
Measurement
Modulation
Multimedia Information Systems
Optimization
Optimization techniques
Parameters
Random noise
Resampling
Special Purpose and Application-Based Systems
Watermarking
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we propose an efficient transform-based blind audio watermarking technique by introducing a parametric quantization index modulation (QIM). Theoretical expressions for the signal to watermark ratio and probability of error are derived and then used in an optimization technique based on the Lagrange multipliers method to find the optimal values for the parameters of the parametric QIM that ensure the imperceptibility while maximizing the robustness under an additive white Gaussian noise (AWGN) attack. Moreover, a fast scheme for the implementation of the proposed watermarking technique is developed and an efficient procedure is suggested to find the interval for the best selection of the watermark embedding positions that provide a good trade-off between the effects of high and low pass filtering attacks. The parameters of the resulting optimal parametric QIM coupled with the embedding positions constitute a highly robust secret key for the proposed watermarking technique. We also carry out several experiments to show the usefulness of the theoretical analysis presented in the paper and compare the proposed technique with other existing QIM-based watermarking techniques by considering known attacks such as AWGN, re-quantization, resampling, low/high pass filtering, amplitude scaling and common lossy compressions.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-018-5813-z