Digital Watermarking Enhancement Using Wavelet Filter Parametrization

Piotr Lipinski, Jan Stolarek

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper a genetic-based enhancement of digital image watermarking in the Discrete Wavelet Transform domain is presented. The proposed method is based on adaptive synthesis of a mother wavelet used for image decomposition. Wavelet synthesis is performed using parametrization based on an orthogonal lattice structure. A genetic algorithm is applied as an optimization method to synthesize a wavelet that provides the best watermarking quality in respect to the given optimality criteria. Effectiveness of the proposed method is demonstrated by comparing watermarking results using synthesized wavelets and the most commonly used Daubechies wavelets. Experiments demonstrate that mother wavelet selection is an important part of a watermark embedding process and can influence watermarking robustness, separability and fidelity.
Original languageEnglish
Title of host publicationAdaptive and Natural Computing Algorithms - 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part I
PublisherSpringer Berlin Heidelberg
Number of pages10
ISBN (Electronic)978-3-642-20282-7
ISBN (Print)978-3-642-20281-0
Publication statusPublished - 2011

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
ISSN (Print)0302-9743


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