A new approach for fractal image compression on a virtual hexagonal structure

Wang, H; He, X; Wu, Q; Hintz, T

A new approach for fractal image compression on a virtual hexagonal structure

Wang, H He, X

Wu, Q

Hintz, T

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Publication Type:: Conference Proceeding
Citation:: Proceedings - International Conference on Pattern Recognition, 2006, 3 pp. 909 - 912
Issue Date:: 2006-12-01

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Field	Value	Language
dc.contributor.author	Wang, H	en_US
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.author	Wu, Q https://orcid.org/0000-0001-5641-2483	en_US
dc.contributor.author	Hintz, T	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Proceedings - International Conference on Pattern Recognition, 2006, 3 pp. 909 - 912	en_US
dc.identifier.isbn	0769525210	en_US
dc.identifier.isbn	9780769525211	en_US
dc.identifier.issn	1051-4651	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2514
dc.description.abstract	In this paper, we propose a Fractal Image Compression method on a virtual hexagonal image structure by adopting Fisher's basic method on the traditional square image structure. The modification on the definition of range block and domain block is implemented in order to utilize the enhanced image structure. The results of the proposed approach applied to testing images are analyzed and higher fidelity is obtained. The further research directions are discussed.	en_US
dc.relation.ispartof	Proceedings - International Conference on Pattern Recognition	en_US
dc.relation.isbasedon	10.1109/ICPR.2006.1	en_US
dc.title	A new approach for fractal image compression on a virtual hexagonal structure	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3	en_US
utslib.for	080106 Image Processing	en_US
utslib.for	080104 Computer Vision	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
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	3	en_US

Abstract:

In this paper, we propose a Fractal Image Compression method on a virtual hexagonal image structure by adopting Fisher's basic method on the traditional square image structure. The modification on the definition of range block and domain block is implemented in order to utilize the enhanced image structure. The results of the proposed approach applied to testing images are analyzed and higher fidelity is obtained. The further research directions are discussed.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/2514