A wavelet watermarking algorithm based on a tree structure

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Author

Oriol Guitart Pla and Eugene T. Lin and Edward J. Delp III

Entry type

conference

Abstract

We describe a blind watermarking technique for digital images. Our technique constructs an image-dependent watermark in the discrete wavelet transform (DWT) domain and inserts the watermark in the most signifcant coefficients of the image. The watermarked coefficients are determined by using the hierarchical tree structure induced by the DWT, similar in concept to embedded zerotree wavelet (EZW) compression. If the watermarked image is attacked or manipulated such that the set of significant coefficients is changed, the tree structure allows the correlation-based watermark detector to recover synchronization.Our technique also uses a visual adaptive scheme to insert the watermark to minimize watermark perceptibility. The visual adaptive scheme also takes advantage of the tree structure. Finally, a template is inserted into the watermark to provide robustness against geometric attacks. The template detection uses the cross-ratio of four collinear points.

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Date

2004

Editor

Edward J. Delp III and Ping W. Wong

Journal

Security, Steganography, and Watermarking of Multimedia Contents VI

Key alpha

pla:571

Number

Pages

571-580

Publisher

SPIE

Volume

5306

Affiliation

Purdue University

Publication Date

2004-01-01

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@Conference{ pla:571,
	title = "A wavelet watermarking algorithm based on a tree structure",
	author = "Oriol Guitart Pla and Eugene T. Lin and Edward J. Delp III",
	year = "2004",
	editor = "Edward J. Delp III and Ping W. Wong",
	journal = "Security, Steganography, and Watermarking of Multimedia Contents VI",
	number = "1",
	pages = "571-580",
	publisher = "SPIE",
	volume = "5306",
	abstract = "We describe a blind watermarking technique for digital images. Our technique constructs an image-dependent watermark in the discrete wavelet transform (DWT) domain and inserts the watermark in the most signifcant coefficients of the image. The watermarked coefficients are determined by using the hierarchical tree structure induced by the DWT, similar in concept to embedded zerotree wavelet (EZW) compression. If the watermarked image is attacked or manipulated such that the set of significant coefficients is changed, the tree structure allows the correlation-based watermark detector to recover synchronization.Our technique also uses a visual adaptive scheme to insert the watermark to minimize watermark perceptibility. The visual adaptive scheme also takes advantage of the tree structure. Finally, a template is inserted into the watermark to provide robustness against geometric attacks. The template detection uses the cross-ratio of four collinear points.",
	affiliation = "Purdue University",
}