Invariant image watermark using Zernike moments

By Hyung-Myong Kim, Heung-Kyu Lee. IEEE Trans. Circuits Syst. Video Technol., 2003

343 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/4d823f8325b9f191d27ae780199e3a04b9450511

How researchers see this paper

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In Computer Vision and Pattern Recognition

1. Heung-Kyu Lee
2. Min-Jeong Lee
3. Seung-Jin Ryu

Citations in the corpus

• Detection of Copy-Rotate-Move Forgery Using Zernike Moments (2010, background): “Of various types of moments defined in the literature, Zernike moments have been shown to be superior to the others in terms of their insensitivity to image noise, information content, and ability to provide faithful image representation [13,14,15].”