Geometrically invariant watermarking using affine covariant regions

Deng, C; Gao, X; Tao, D; Li, X

Geometrically invariant watermarking using affine covariant regions

Deng, C Gao, X Tao, D

Li, X

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Publication Type:: Conference Proceeding
Citation:: Proceedings - International Conference on Image Processing, ICIP, 2008, pp. 413 - 416
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Deng, C	en_US
dc.contributor.author	Gao, X	en_US
dc.contributor.author	Tao, D https://orcid.org/0000-0001-7225-5449	en_US
dc.contributor.author	Li, X	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	Proceedings - International Conference on Image Processing, ICIP, 2008, pp. 413 - 416	en_US
dc.identifier.isbn	1424417643	en_US
dc.identifier.isbn	9781424417643	en_US
dc.identifier.issn	1522-4880	en_US
dc.identifier.uri	http://hdl.handle.net/10453/17282
dc.description.abstract	In this paper, we present a robust approach to digital watermarking embedding and retrieval for digital images. The affine-invariant point detector is used to extract feature regions of the given host image. Image normalization and dominant gradient orientation alignment are applied to these feature regions to achieve scaling and rotation invariance. Thereafter, watermarks are embedded in these feature regions. The advantage of this proposed approach is demonstrated by a large amount of experiments, which can against different attacks, such as common image processing, rotation, scaling, cropping, and several other affine transformations. © 2008 IEEE.	en_US
dc.relation.ispartof	Proceedings - International Conference on Image Processing, ICIP	en_US
dc.relation.isbasedon	10.1109/ICIP.2008.4711779	en_US
dc.title	Geometrically invariant watermarking using affine covariant regions	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	San Diego, CA	en_US
dc.location.activity	Atlanta Georgia
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

In this paper, we present a robust approach to digital watermarking embedding and retrieval for digital images. The affine-invariant point detector is used to extract feature regions of the given host image. Image normalization and dominant gradient orientation alignment are applied to these feature regions to achieve scaling and rotation invariance. Thereafter, watermarks are embedded in these feature regions. The advantage of this proposed approach is demonstrated by a large amount of experiments, which can against different attacks, such as common image processing, rotation, scaling, cropping, and several other affine transformations. © 2008 IEEE.

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http://hdl.handle.net/10453/17282