Watermark extraction by magnifying noise and applying global minimum decoder

Zhigeng Pan, Li Li, Mingmin Zhang, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)


For the classical watermark embedment model I = I + αW , the corresponding watermark detection has its limitation in its need of a fixed parameter for extracting watermarks. If the extraction parameter is too large, we cannot extract the watermark from the image that contains watermarks; if it is too small, the extracted watermarks may be blurred. This paper proposes a novel watermark extraction method. First, we treat the watermark information as noise for the watermarked image in its spatial domain. We then magnify the noise before detection. Next, we recover the watermark information by adjusting the extracted data from the frequency domain according to our global minimum method. Experimental results show that our watermark extraction method is more valid and accurate than the classical method. It can greatly reduce extraction errors.
Original languageEnglish
Title of host publicationProceedings - Third International Conference on Image and Graphics
Number of pages4
Publication statusPublished - 1 Dec 2004
EventProceedings - Third International Conference on Image and Graphics - Hong Kong, Hong Kong
Duration: 18 Dec 200420 Dec 2004


ConferenceProceedings - Third International Conference on Image and Graphics
Country/TerritoryHong Kong
CityHong Kong

ASJC Scopus subject areas

  • Engineering(all)

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