Rotation, scale, and translation resilient watermarking for images

By Ching-Yung Lin, Min Wu, J. Bloom, Ingemar Johansson Cox, Matthew L. Miller, Yui Man Lui. IEEE Transactions on Image Processing, 2001

724 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/203d82c6e6637e9ca33bbbbdf5171ecc52a97986

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. Heung-Kyu Lee
2. Jiwu Huang
3. Y. Shi
4. Jessica J. Fridrich
5. Nasir D. Memon
6. Husrev Taha Sencar
7. Sevinc Bayram
8. Xiangui Kang

Citations in the corpus

• A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression (2003, methodology): “Specifically, Ruanaidhet al. [7] first proposed a watermarking scheme based on transform invariants via applying Fourier-Mellin transform to the magnitude spectrum of an original image.”
• An efficient and robust method for detecting copy-move forgery (2009, background): “These properties of FMT were previously exploited in the context of watermarking to combat against desynchronization attacks due to geometric transformations [5].”
• Invariant image watermark using Zernike moments (2003, methodology): “By doing that, a scale and a rotation are converted into a translation which is invariant after another Fourier transform.”