Title :
New Detectors for Watermarks with Unknown Power Based on Student-t Image Priors
Author :
Mairgiotis, Antonis ; Chantas, Giannis ; Galatsanos, Nikolaos ; Blekas, Konstantinos ; Yang, Yongyi
Author_Institution :
Ioannina Univ., Ioannina
Abstract :
In this paper we present new detectors for additive watermarks when the power of the watermark is unknown. These detectors are based on modeling the image using student-t statistics. As a result, due to the generative properties of the student-t density function, such models are spatially adaptive and the Expectation-Maximization algorithm can be used to obtain maximum likelihood estimates of their parameters. Using these image models detectors based on the generalized likelihood ratio and Rao tests are derived for this problem. Numerical experiments are presented that demonstrate the properties of these detectors and compared them with previously proposed detectors.
Keywords :
belief networks; expectation-maximisation algorithm; image processing; watermarking; Bayesian inference; Rao test; additive watermarks; density function; detectors; expectation-maximization algorithm; generalized likelihood ratio; maximum likelihood estimates; student-t image priors; Additives; Density functional theory; Detectors; Expectation-maximization algorithms; Maximum likelihood detection; Maximum likelihood estimation; Parameter estimation; Statistics; Testing; Watermarking; Bayesian Inference; EM Algorithm; GLRT Test; Rao Test; Student-t Image Prior; Watermark Detection;
Conference_Titel :
Multimedia Signal Processing, 2007. MMSP 2007. IEEE 9th Workshop on
Conference_Location :
Crete
Print_ISBN :
978-1-4244-1274-7
DOI :
10.1109/MMSP.2007.4412889
