Local watermarks based on Krawtchouk moments

Pew Thian Yap, Raveendran Paramesran

Research output: Contribution to conferencePaperpeer-review

19 Citations (Scopus)


This paper proposes a new image watermarking scheme using the set of Krawtchouk moments. The watermark is constructed as an independent identically distributed (i.i.d) Gaussian random vector that is imperceptibly inserted in a spread-spectrum-like fashion into the perceptually significant Krawtchouk moments of the image. Interestingly, watermarks based on Krawtchouk moments are local, that is, the watermark affects only a selected portion of the image, the position of which can be decided by user. This, in effect, permits the watermark to be embedded at the portion of the image which is most significant information-wise. And this also means that the watermark is especially robust to cropping. Experimental results are provided to support these claims.

Original languageEnglish
Number of pages4
Publication statusPublished - 2004
Externally publishedYes
EventIEEE Tencon (IEEE Region 10 Conference) 2004 - Chiang Mai, Thailand
Duration: 21 Nov 200424 Nov 2004
https://ieeexplore.ieee.org/xpl/conhome/9709/proceeding?isnumber=30646 (Proceedings)


ConferenceIEEE Tencon (IEEE Region 10 Conference) 2004
Abbreviated titleTENCON 2004
CityChiang Mai
Internet address

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