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Proceedings Paper

Use of adaptive models in watermark identification
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Paper Abstract

Many transform domain techniques have been developed for watermarking. Most of these techniques have been proven more robust than spatial domain methods after common image processing operations are applied to the watermarked images. In this research, adaptive models are used to help identify watermarks in the discrete cosine transform (DCT) domain. The adaptive models can be used to enhance the watermark detected after an attack. The watermark can thus be semi-blindly identified or estimated further allowing the estimation of the original image. In this paper, the susceptibility of the proposed DCT-based adaptive models to attacks is demonstrated on multiple digital images. The LMS correlation based detection is shown to be more robust than a simple correlation based detection.

Paper Details

Date Published: 25 August 2006
PDF: 10 pages
Proc. SPIE 6315, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX, 631508 (25 August 2006); doi: 10.1117/12.681491
Show Author Affiliations
Lifford McLauchlan, Texas A&M Univ., Kingsville (United States)
Mehrübe Mehrübeoğlu, Texas A&M Univ., Corpus Christi (United States)


Published in SPIE Proceedings Vol. 6315:
Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX
Gerhard X. Ritter; Mark S. Schmalz; Junior Barrera; Jaakko T. Astola, Editor(s)

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