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TitleImage watermark detection in the wavelet domain using Bessel K densities
AuthorBian, Y; Liang, S
SourceIET Image Processing; vol. 7, no. 4, 2013 p. 281-289,
Alt SeriesNatural Resources Canada, Contribution Series 20181479
PublisherInstitution of Engineering and Technology (IET)
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; remote sensing
ProgramCanada Centre for Remote Sensing Divsion
Released2013 06 01
AbstractIn 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. © The Institution of Engineering and Technology 2013.

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