Circular Spatial Improved Watermark Embedding using a new Global Sift Synchronization scheme

Luc Verstrepen, Tom Meesters, Tim Dams, Ann Dooms, Dieter Bardyn

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

9 Citations (Scopus)

Abstract

In image watermarking, many attacks will result in a synchronization problem between embedder and detector. A novel way to, partly, overcome this problem is embedding with feature points. In this paper we describe a synchronization system based on SIFT feature points. These points are characterized as being a localized feature containing semantic information of the image and can usually be retrieved after the image is attacked. We present an improvement on the work of Lee et al.[1], by using a more robust SIFT algorithm for feature point detection which we called Global SIFT (GLOS) and an adaptation of the Circular Spatial watermarking algorithm using so called mean QIM (CSI). We experimentally show an increase in detection rate and robustness of the watermarks after geometric attacks.
Original languageEnglish
Title of host publicationInternational Conference on Digital Signal Processing
PublisherIEEE
Number of pages8
ISBN (Print)978-1-4244-3297-4
Publication statusPublished - 18 Aug 2009
EventFinds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet - Stockholm, Sweden
Duration: 21 Sep 200925 Sep 2009

Conference

ConferenceFinds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet
Country/TerritorySweden
CityStockholm
Period21/09/0925/09/09

Keywords

  • watermarking
  • synchronization
  • quantization index modulation
  • feature points
  • SIFT

Fingerprint

Dive into the research topics of 'Circular Spatial Improved Watermark Embedding using a new Global Sift Synchronization scheme'. Together they form a unique fingerprint.

Cite this