Performance analysis of existing and new methods for data hiding with known-host information in additive channels

A considerable amount of attention has been paid lately to a number of data hiding methods based in quantization, seeking to achieve in practice the results predicted by Costa (1983) for a channel with side information at the encoder. With the objective of filling a gap in the literature, this paper...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on signal processing 2003-04, Vol.51 (4), p.960-980
Main Authors: Perez-Gonzalez, F., Balado, F., Martin, J.R.H.
Format: Article
Language:English
Subjects:
Applied sciences
Channels
Coding, codes
Computer simulation
Cryptography
Data encapsulation
Decoding
Delta modulation
Distortion measurement
Encoders
Error analysis
Exact sciences and technology
Exact solutions
Filling
Information, signal and communications theory
Monte Carlo methods
Performance analysis
Performance gain
Permissible error
Quadratic programming
Quantization
Signal and communications theory
Spread spectrum communication
Studies
Telecommunications and information theory
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 considerable amount of attention has been paid lately to a number of data hiding methods based in quantization, seeking to achieve in practice the results predicted by Costa (1983) for a channel with side information at the encoder. With the objective of filling a gap in the literature, this paper supplies a fair comparison between significant representatives of both this family of methods and the former spread-spectrum approaches that make use of near-optimal ML decoding; the comparison is based on measuring their probabilities of decoding error in the presence of channel distortions. Accurate analytical expressions and tight bounds for the probability of decoding error are given and validated by means of Monte Carlo simulations. For dithered modulation (DM), a novel technique that allows us to obtain tighter bounds to the probability of error is presented. Within the new framework, the strong points and weaknesses of both methods are distinctly displayed. This comparative study allows us to propose a new technique named "quantized projection" (QP), which, by adequately combining elements of those previous approaches, produces gains in performance.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2003.809368