Robust image watermarking using feature points and image normalization

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

6 Scopus citations

Abstract

In this paper we present a robust image watermarking method against geometric distortions and several attacks of signal processing. Initially, the original image is normalized and the feature points are then extracted. Furthermore, the locally most stable feature points are obtained and used to generate several non-overlapped circular regions. Texture-based image block classification in Discrete Cosine Transform (DCT) domain is also used to get watermark imperceptibility. The watermark is embedded and extracted into classified regions using the DCT domain. in the detector stage, the watermark can be obtained without the original image. The experimental results show the watermark robustness against geometric distortion such as rotation, scaling and various other Affine Transformation, and common signal processing attacks, such as JPEG compression and noise contamination.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference, CERMA 2010
Pages313-318
Number of pages6
DOIs
StatePublished - 2010
Event2010 7th IEEE Electronics, Robotics and Automotive Mechanics Conference, CERMA 2010 - Cuernavaca, Mexico
Duration: 28 Sep 20101 Oct 2010

Publication series

NameProceedings - 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference, CERMA 2010

Conference

Conference2010 7th IEEE Electronics, Robotics and Automotive Mechanics Conference, CERMA 2010
Country/TerritoryMexico
CityCuernavaca
Period28/09/101/10/10

Keywords

  • Feature points
  • Geometric attacks
  • Image normalization
  • Image watermartking
  • Texture classification

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