Chirp watermark detection based on fractional auto-correlation statistic

Yi Xin*, Bingzhao Li, Wenwang Zhao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To overcome the shortage of the existing detector algorithm when the focus order of Chirp watermark near ±1, a novel blind detection method based on fractional auto-correlation statistic has been proposed. The theory and methods of implementation have been discussed. Simulation results show that the algorithm is better robust to common attack.

Original languageEnglish
Title of host publicationRecent Advances in Computer Science and Information Engineering
PublisherSpringer Verlag
Pages217-222
Number of pages6
EditionVOL. 5
ISBN (Print)9783642257919
DOIs
Publication statusPublished - 2012
Event2nd World Congress on Computer Science and Information Engineering, CSIE 2011 - Changchun, China
Duration: 17 Jun 201119 Jun 2011

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 5
Volume128 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2nd World Congress on Computer Science and Information Engineering, CSIE 2011
Country/TerritoryChina
CityChangchun
Period17/06/1119/06/11

Keywords

  • Chirp signal
  • Digital watermarking
  • Fractional Fourier transform
  • Fractional auto-correlation

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