Image compression on Spiral Architecture

Hintz, T; Wu, Q

Image compression on Spiral Architecture

Hintz, T Wu, Q

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST, 2003, 1 pp. 201 - 204
Issue Date:: 2003-12-01

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Field	Value	Language
dc.contributor.author	Hintz, T	en_US
dc.contributor.author	Wu, Q https://orcid.org/0000-0001-5641-2483	en_US
dc.date.issued	2003-12-01	en_US
dc.identifier.citation	Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST, 2003, 1 pp. 201 - 204	en_US
dc.identifier.uri	http://hdl.handle.net/10453/7050
dc.description.abstract	Spiral Architecture is a new and powerful approach to a general-purpose machine vision system. Earlier research on the Spiral Architecture focused on the properties of undistorted translation, rotation and scaling. The research reported here uses the properties of the pixel address labelling scheme. The property of interest is the physical proximity of the hexagonal pixels with neighbouring addresses. Rectangular systems may, for instance, have vertical physically adjacent pixels but the address distance is the length of a scan line. It is demonstrated that in the Spiral Architecture, unlike the rectangular system, many images have the property that neighbouring pixels have similar intensities thus giving opportunities for better compression.	en_US
dc.relation.ispartof	Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST	en_US
dc.title	Image compression on Spiral Architecture	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Las Vegas, USA	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 - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

Spiral Architecture is a new and powerful approach to a general-purpose machine vision system. Earlier research on the Spiral Architecture focused on the properties of undistorted translation, rotation and scaling. The research reported here uses the properties of the pixel address labelling scheme. The property of interest is the physical proximity of the hexagonal pixels with neighbouring addresses. Rectangular systems may, for instance, have vertical physically adjacent pixels but the address distance is the length of a scan line. It is demonstrated that in the Spiral Architecture, unlike the rectangular system, many images have the property that neighbouring pixels have similar intensities thus giving opportunities for better compression.

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http://hdl.handle.net/10453/7050