Method for Predicting the Correlation Properties of Marker Bipolar Sequences in Digital Watermarking Using the Patchwork Method

This paper develops theoretical justifications and presents simulation results confirming the key influence of spreading bipolar sequences on the correlation properties of marker (spread) bipolar sequences. This study develops a method to predict the values of the normalized autocorrelation function of the marker sequence and also specifies the conditions for obtaining accurate predictions. This article also proves the existence of a relationship between the properties and characteristics of the cross-correlation function between the target (embedded) marker sequence and the tested sequence (distorted by noise or attacks) and the properties of the autocorrelation function of the embedded marker sequence. Finally, in the concluding part of the article, the indicators and criteria of robustness of spreading and marker bipolar sequences are formulated.

Authors

Institutions

Publication Details

Journal
Automatic Control and Computer Sciences
Published
2025-12-01
DOI
https://doi.org/10.3103/s0146411625700968
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Method for Predicting the Correlation Properties of Marker Bipolar Sequences in Digital Watermarking Using the Patchwork Method

A. A. Kornienko, M. V. Gofman
Automatic Control and Computer Sciences
Advanced Steganography and Watermarking Techniques
article

Method for Predicting the Correlation Properties of Marker Bipolar Sequences in Digital Watermarking Using the Patchwork Method

A. A. Kornienko, M. V. Gofman
article en

Abstract

This paper develops theoretical justifications and presents simulation results confirming the key influence of spreading bipolar sequences on the correlation properties of marker (spread) bipolar sequences. This study develops a method to predict the values of the normalized autocorrelation function of the marker sequence and also specifies the conditions for obtaining accurate predictions. This article also proves the existence of a relationship between the properties and characteristics of the cross-correlation function between the target (embedded) marker sequence and the tested sequence (distorted by noise or attacks) and the properties of the autocorrelation function of the embedded marker sequence. Finally, in the concluding part of the article, the indicators and criteria of robustness of spreading and marker bipolar sequences are formulated.

Automatic Control and Computer SciencesVol. 59(8)
Petersburg State Transport University (RU)
Openalex Percentile: Top 27%
Advanced Steganography and Watermarking Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.