Year: 2000
Type: report
Abstract: This paper considers a fingerprinting system where$2^{n R_W}$ distinct Gaussian fingerprints are embedded inrespective copies of an $n$-dimensional i.i.d. Gaussian image.Copies are distributed to customers in digital form, using$R_Q$ bits per image dimension.By means of a coding theorem, a rate regionfor the pair $(R_Q, R_W)$ is established such that (i) theaverage quadratic distortion between the original imageand each distributed copy does not exceed a specified level;and (ii) the error probability in decoding the embedded fingerprintin the distributed copy approaches zero asymptotically in $n$.
Authors: Damianos Karakos, A. Papamarcou
Institution: University of Maryland, College Park
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: National Science Foundation
OpenAlex ID: W2130021386