Open AccessImage watermark detection in the wavelet domain using Bessel K densities
Author(s) -
Bian Yong,
Liang Steve
Publication year - 2013
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2012.0345
Subject(s) - bessel function , watermark , wavelet , artificial intelligence , wavelet transform , pattern recognition (psychology) , image (mathematics) , domain (mathematical analysis) , computer science , mathematics , computer vision , algorithm , mathematical analysis
In this study, the authors propose a wavelet domain still image watermark detection method which uses the Bessel K probability density function to describe the distribution of wavelet coefficients. In this study, watermark detection is formulated as a binary statistical decision problem which is to detect a signal submerged in the noise that follows a Bessel K distribution. Using this formulation, an optimal watermark detector using likelihood ratio test is proposed. The experimental results of the proposed method in a variety of situations demonstrate that the proposed method has a robust detection performance for additive spread spectrum watermarks.