Rotation-, scale-, and translation-resilient public watermarking for images

By Ching-Yung Lin, Min Wu, J. Bloom, Ingemar Johansson Cox, Matthew L. Miller, Yui Man Lui. Electronic imaging, 2000

313 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/4f11825f9c48f961dbeddc02729ab31cec385d69

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Patrick Bas
2. Matthew L. Miller
3. Ingemar Johansson Cox
4. Benoit M. Macq
5. Jean-Marc Chassery
6. Jessica J. Fridrich
7. Vojtech Holub
8. Jan Kodovský

Citations in the corpus

• The First 50 Years of Electronic Watermarking (2002, background): “Several different strategies have been pursued that can be categorized as exhaustive search, explicit synchronization/registration, autocorrelation [41], invariants [42, 43], and implicit synchronization [44, 45, 46, 47].”
• Geometrically invariant watermarking using feature points (2002, background): “(cid:1)/(cid:30) (cid:5) (cid:20)7;=+ (cid:7) Lin et al. developed another RST invariant scheme depending on the log-polar coordinates of the Fourier transform [28].”
• Information Forensics: An Overview of the First Decade (2013, unknown): “By appropriately choosing features and applying alignment procedures, spread spectrum watermarks can survive moderate geometric distortions, such as rotation, scaling, shifting, and cropping [133], [134].”