Title
Unseen visible watermarking: a novel methodology for auxiliary information delivery via visual contents
Abstract
A novel data hiding scheme, denoted as unseen visible watermarking (UVW), is proposed. In UVW schemes, hidden information can be embedded covertly and then directly extracted using the human visual system as long as appropriate operations (e.g., gamma correction provided by almost all display devices or changes in viewing angles relative to LCD monitors) are performed. UVW eliminates the requirement of invisible watermarking that specific watermark extractors must be deployed to the receiving end in advance, and it can be integrated with 2-D barcodes to transmit machine-readable information that conventional visible watermarking schemes fail to deliver. We also adopt visual cryptographic techniques to guard the security of hidden information and, at the same time, increase the practical value of visual cryptography. Since UVW can be alternatively viewed as a mechanism for visualizing patterns hidden with least-significant-bit embedding, its security against statistical steganalysis is proved by empirical tests. Limitations and other potential extensions of UVW are also addressed.
Year
DOI
Venue
2009
10.1109/TIFS.2009.2020778
IEEE Transactions on Information Forensics and Security
Keywords
Field
DocType
unseen visible watermarking,invisible watermarking,novel methodology,auxiliary information delivery,conventional visible watermarking scheme,visual cryptography,visual content,hidden information,human visual system,machine-readable information,uvw scheme,visual cryptographic technique,2-d barcodes,data mining,cryptography,steganography,visual system,liquid crystal displays,information security,data hiding,it security,visualization,least significant bit,watermarking,statistical analysis
UVW mapping,Computer vision,Steganography,Digital watermarking,Pattern recognition,Human visual system model,Computer science,Information hiding,Watermark,Artificial intelligence,Steganalysis,Visual cryptography
Journal
Volume
Issue
ISSN
4
2
1556-6013
Citations 
PageRank 
References 
17
0.86
13
Authors
4
Name
Order
Citations
PageRank
Chun-Hsiang Huang113812.05
Shang-Chih Chuang2282.50
Yen-Lin Huang315614.23
Ja-ling Wu41569168.11