Digital watermarking in image affine co-variant regions

Deng, C; Gao, XB; Tao, DC; Li, XL

Digital watermarking in image affine co-variant regions

Deng, C Gao, XB Tao, DC

Li, XL

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007, 2007, 4 pp. 2125 - 2130
Issue Date:: 2007-12-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Deng, C	en_US
dc.contributor.author	Gao, XB	en_US
dc.contributor.author	Tao, DC https://orcid.org/0000-0001-7225-5449	en_US
dc.contributor.author	Li, XL	en_US
dc.date.issued	2007-12-01	en_US
dc.identifier.citation	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007, 2007, 4 pp. 2125 - 2130	en_US
dc.identifier.isbn	142440973X	en_US
dc.identifier.isbn	9781424409730	en_US
dc.identifier.uri	http://hdl.handle.net/10453/17291
dc.description.abstract	In this paper, we present a robust approach of digital watermarking embedding and retrieval for digital images. This new approach works in special domain and it has two major steps: (1) to extract affine co-variant regions, and (2) to embed watermarks with a novel fuzzy inference mechanism. The advantage of this proposed approach is demonstrated by a large amount of experiments, which are mainly against different attacks, such as common image processing, rotation, scaling, cropping, and several other affine transformations. © 2007 IEEE.	en_US
dc.relation.ispartof	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007	en_US
dc.relation.isbasedon	10.1109/ICMLC.2007.4370495	en_US
dc.title	Digital watermarking in image affine co-variant regions	en_US
dc.type	Conference Proceeding
utslib.citation.volume	4	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Hong Kong, China	en_US
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
pubs.volume	4	en_US

Abstract:

In this paper, we present a robust approach of digital watermarking embedding and retrieval for digital images. This new approach works in special domain and it has two major steps: (1) to extract affine co-variant regions, and (2) to embed watermarks with a novel fuzzy inference mechanism. The advantage of this proposed approach is demonstrated by a large amount of experiments, which are mainly against different attacks, such as common image processing, rotation, scaling, cropping, and several other affine transformations. © 2007 IEEE.

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http://hdl.handle.net/10453/17291