Statistical watermark detection in the transform domain for digital images

Fouad Khelifi, Ahmed Bouridane, Fatih Kurugollu

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

The problem of multiplicative watermark detection in digital images can be viewed as a binary decision where the observation is the possibility that watermarked samples can be thought of as a noisy environment in which a desirable signal, called watermark, may exist. In this chapter, we investigate the optimum watermark detection from the viewpoint of decision theory. Different transform domains are considered with generalised noise models. We study the effect of the watermark strength on both the detector performance and the imperceptibility of the host image. Also, the robustness issue is addressed while considering a number of commonly used attacks.
Original languageEnglish
Title of host publicationMultimedia Forensics and Security
EditorsChang-Tsun Li
Place of PublicationHershey, PA
PublisherIGI Global
Pages120-138
Number of pages396
ISBN (Print)978-1599048697
Publication statusPublished - 2008

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