Robust and secure image hashing

By Ashwin Swaminathan, Yinian Mao, Min Wu. IEEE Transactions on Information Forensics and Security, 2006

577 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/4ee89af71b604090e98d543f9847210aae2b7e53

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. M. K. Mihçak
2. Vishal Monga
3. Christoph Zauner

Citations in the corpus

• Digital image forensics via intrinsic fingerprints (2008, unknown): “1.”
• Implementation and Benchmarking of Perceptual Image Hash Functions (2010, background): “[40] defines the normalized hamming distance ∆n as”
• Physical Layer Security for Next Generation Wireless Networks: Theories, Technologies, and Challenges (2017, unknown): “The embedded watermarking scheme is a combination of CSI estimation and cryptographic technologies [122], [137], where watermarking codes are generated by signing a transmitted message D(t), the transmitter’s identity ID, and time information t.”
• Robust and Secure Image Hashing via Non-Negative Matrix Factorizations (2007, methodology): “1) Remark on Random Rectangles and Hash Security: Recent work [15], [25] has brought forward security weaknesses of the wavelet statistics-based image hash by Venkatesan et al.”