A new method for detection of watermarks in geometrically distorted images

I. Burak Ozer, Mahalingam Ramkumar, Ali N. Akansu

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

15 Scopus citations

Abstract

The goal of this study is to investigate the performance of the watermarking scheme proposed in [1] for watermarked images distorted by geometrical attacks such as StirMark [2]. Although the geometric distortions are not visually noticeable, the watermark cannot be detected due to resulting high mean square error between the original and attacked images. In order to extract the watermark from distorted images, the effects of these attacks must be minimized. This work focuses on the recovery of an attacked image using a reliable distortion estimation. The performance test is studied for several images attacked by StirMark. The proposed algorithm is shown to reduce false alarm probability in detection of the watermark from about 0.005 for (for StirMarked images) to less than 10-50.

Original languageEnglish (US)
Title of host publicationImage and Multidimensional Signal ProcessingMultimedia Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1963-1966
Number of pages4
ISBN (Electronic)0780362934
DOIs
StatePublished - Jan 1 2000
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey
Duration: Jun 5 2000Jun 9 2000

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
ISSN (Print)1520-6149

Other

Other25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
Country/TerritoryTurkey
CityIstanbul
Period6/5/006/9/00

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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