Achieving fast fractal image compression using spiral architecture

Liu, D; He, X

Achieving fast fractal image compression using spiral architecture

Liu, D He, X

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2005 International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'05, 2005, 1 pp. 141 - 146
Issue Date:: 2005-12-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (250.12 kB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Liu, D	en_US
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X	en_US
dc.date.issued	2005-12-01	en_US
dc.identifier.citation	Proceedings of the 2005 International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'05, 2005, 1 pp. 141 - 146	en_US
dc.identifier.isbn	9781932415582	en_US
dc.identifier.uri	http://hdl.handle.net/10453/7034
dc.description.abstract	Spiral Architecture is a relatively new and powerful approach to general-purpose machine vision system, n this novel architecture, Spiral Addition and Multiplication achieve image processing. As we all nown, fractal image compression methods have maximal image compression ratio, at the cost of slow coding speed. This paper presents an algorithm to achieve high image compression ratio without slow coding speed on Spiral Architecture, which also improves the Spiral Architecture s usage in image processing.	en_US
dc.relation.ispartof	Proceedings of the 2005 International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'05	en_US
dc.title	Achieving fast fractal image compression using spiral architecture	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	1702 Cognitive Sciences	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/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

Spiral Architecture is a relatively new and powerful approach to general-purpose machine vision system, n this novel architecture, Spiral Addition and Multiplication achieve image processing. As we all nown, fractal image compression methods have maximal image compression ratio, at the cost of slow coding speed. This paper presents an algorithm to achieve high image compression ratio without slow coding speed on Spiral Architecture, which also improves the Spiral Architecture s usage in image processing.

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

http://hdl.handle.net/10453/7034