Watermarking schemes evaluation

By Fabien A. P. Petitcolas. IEEE Signal Processing Magazine, 2000

660 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/a0f332cb35fba818116aa867ffe74605b1f25011

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. A. Bovik
2. Luc Van Gool
3. Dacheng Tao
4. Chen Change Loy
5. Zhou Wang
6. Ming-Hsuan Yang
7. Lei Zhang
8. Xiaogang Wang

In Signal Processing

1. Zhou Wang
2. A. Bovik
3. Hamid R. Sheikh
4. Eero P. Simoncelli
5. Rachel Greenstadt
6. Sadia Afroz
7. Ben Mildenhall
8. Ren Ng

Citations in the corpus

• StegaStamp: Invisible Hyperlinks in Physical Photographs (2019, positive): “ion and other metadata is imperceptibly hidden in a photograph or document, using both traditional [9] and learning-based [18] techniques. Some methods [25] particularly target the StirMark benchmark [27,26]. StirMark tests watermarking techniques against a set of digital attacks, including geometri”
• Quality-aware images (2006, background): “This is different from security-related applications such as copyright protection, where robustness to malicious attacks [45] is an essential issue.”
• PhishZoo: Detecting Phishing Websites by Looking at Them (2011, methodology): “To verify the robustness of SIFT we used the Stirmark benchmark [32], [33] to modify logos of sites by applying rotation, noise, convolution, and affine translation.”