Robust image watermarking using inversely proportional embedding

Te Shen Liang, J. J. Rodriguez

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

4 Scopus citations

Abstract

In just a few years, robustly embedding an imperceptible watermark into a digital image for the purpose of ownership verification and copy control, has been widely investigated and studied. One of the remaining challenges for robust image watermarking is to design secure encoding/decoding schemes that reliably verify the embedded but possibly corrupted watermark. In this paper, we introduce a modified embedding scheme that can render more reliable watermark detection compared to some conventional image watermarking approaches. We first study common problems inherent in traditional watermarking, and then propose a better embedding rule as the remedy. Experimental results demonstrate that the new embedding rule enhances the performance of existing watermarking schemes for different capacities/payloads and under various types of common image processing.

Original languageEnglish (US)
Title of host publicationProceedings - 4th IEEE Southwest Symposium on Image Analysis and Interpretation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages182-186
Number of pages5
ISBN (Electronic)0769505953
DOIs
StatePublished - 2000
Event4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000 - Austin, United States
Duration: Apr 2 2000Apr 4 2000

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2000-January

Other

Other4th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2000
Country/TerritoryUnited States
CityAustin
Period4/2/004/4/00

Keywords

  • Decoding
  • Discrete cosine transforms
  • Discrete transforms
  • Discrete wavelet transforms
  • Hip
  • Image coding
  • Image processing
  • Payloads
  • Robustness
  • Watermarking

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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