Intelligent Extraction of a Digital Watermark from a Distorted Image

Asifullah KHAN  Syed Fahad TAHIR  Tae-Sun CHOI  

IEICE TRANSACTIONS on Information and Systems   Vol.E91-D   No.7   pp.2072-2075
Publication Date: 2008/07/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e91-d.7.2072
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Application Information Security
watermark,  decoding,  transform,  copyright protection,  robust,  blind,  Machine Learning,  

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We present a novel approach to developing Machine Learning (ML) based decoding models for extracting a watermark in the presence of attacks. Statistical characterization of the components of various frequency bands is exploited to allow blind extraction of the watermark. Experimental results show that the proposed ML based decoding scheme can adapt to suit the watermark application by learning the alterations in the feature space incurred by the attack employed.