An Application of Multidimensional Time-Frequency Analysis as a Base for the Unified Watermarking Approach

A watermarking approach based on multidimensional time-frequency analysis is proposed. It represents a unified concept that can be used for different types of data such as audio, speech signals, images or video. Time-frequency analysis is employed for speech signals, while space/spatial-frequency an...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on image processing 2010-03, Vol.19 (3), p.736-745
Main Authors: Stankovic, S., Orovic, I., Zaric, N.
Format: Article
Language:English
Subjects:
Applied sciences
Cryptography
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Filtering
Frequency estimation
Image analysis
Image processing
Image watermarking
Information, signal and communications theory
Mathematical models
Multidimensional systems
multidimensional time-frequency analysis
Protection
Robustness
Signal analysis
Signal and communications theory
Signal processing
Signal, noise
Speech
Speech analysis
Speech processing
Telecommunications and information theory
Time frequency analysis
Video signals
video watermarking
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:A watermarking approach based on multidimensional time-frequency analysis is proposed. It represents a unified concept that can be used for different types of data such as audio, speech signals, images or video. Time-frequency analysis is employed for speech signals, while space/spatial-frequency analysis is used for images. Their combination is applied for video signals. Particularly, we focus on the 2-D case: space/spatial-frequency based image watermarking procedure that will be subsequently extended to video signal. A method that selects coefficients for watermarking by estimating the local frequency content is proposed. In order to provide watermark imperceptibility, the nonstationary filtering is used to model the watermark which corresponds to the host signal components. Furthermore, the watermark detection within the multidimensional time-frequency domain is proposed. The efficiency and robustness of the procedure in the presence of various attacks is proven experimentally.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2009.2033624