Reducing host interference from spread spectrum watermarking

Saeed Sedghi, Yoiti Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Spread spectrum watermarking (SSW) is one of the most promising watermarking techniques. While SSW is very robust against the additive noise, it suffers from an inherent noise. The noise is restated from host interference on detection of the embedded hidden information. The host interference is one of the main reasons of relatively low embedding rate in SSW and its reduction is important. In this paper, a new method for SSW detector is proposed to reduce the host interference. The proposed method is based on the law of large numbers and symbol detection of embedded information, instead of bit detection. Since the method is based on the detection of symbols longer than 1 bit, the detector can employ PN sequences with larger length, resulting in decrease of the interference. Symbol error rate using this algorithm is calculated employing Maximum a Posterior criterion. Comparison of bit error rates between the modified SSW algorithm and conventional bit detection shows that the modified algorithm is much more robust against the host interference.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Pages558-561
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
Event3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, Taiwan, Province of China
Duration: 2007 Nov 262007 Nov 28

Publication series

NameProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Volume1

Other

Other3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
CountryTaiwan, Province of China
CityKaohsiung
Period07/11/2607/11/28

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management

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