Fractal Image Compression on Hexagonal Structure

Wang, H; He, S; Hintz, TB; Wu, Q

Fractal Image Compression on Hexagonal Structure

Wang, H He, S

Hintz, TB Wu, Q

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Publisher:: Multi-Science Publishing Co. Ltd
Publication Type:: Journal Article
Citation:: Journal of Algorithms & Computational Technoiogy, 2008, 2 (1), pp. 79 - 97
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Wang, H	en_US
dc.contributor.author	He, S https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.author	Hintz, TB	en_US
dc.contributor.author	Wu, Q https://orcid.org/0000-0001-5641-2483	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	Journal of Algorithms & Computational Technoiogy, 2008, 2 (1), pp. 79 - 97	en_US
dc.identifier.issn	1748-3018	en_US
dc.identifier.uri	http://hdl.handle.net/10453/9119
dc.identifier.uri	http://hdl.handle.net/10453/34156
dc.description.abstract	Fractal image compression (FIC) is a relatively recent image compression method. Its basic idea is to represent images as a fixed point of a contractive Iterated Function System (IFS). Spiral Architecture (SA) is a novel hexagonal image structure on which images are displayed as a collection of hexagonal pixels. The efficiency and accuracy of image processing on SA have been demonstrated in many recently published papers. In this paper, two presentations of SA on the traditional display device will be discussed. Then we will review the current research work on fractal image compression based on SA using both presentations. The FIC performance on SA will be compared with it on the traditional square structure in terms of compression ratio and PSNR. In the experimental results, higher PSNR values can be achieved at various compression ratios for all test images. The preliminary research on this direction has shown a promising future of applying FIC on SA to further improve the compression performance.	en_US
dc.publisher	Multi-Science Publishing Co. Ltd	en_US
dc.relation.ispartof	Journal of Algorithms & Computational Technoiogy	en_US
dc.title	Fractal Image Compression on Hexagonal Structure	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	2	en_US
utslib.for	0802 Computation Theory and Mathematics	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	open_access
pubs.consider-herdc	true	en_US
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

Fractal image compression (FIC) is a relatively recent image compression method. Its basic idea is to represent images as a fixed point of a contractive Iterated Function System (IFS). Spiral Architecture (SA) is a novel hexagonal image structure on which images are displayed as a collection of hexagonal pixels. The efficiency and accuracy of image processing on SA have been demonstrated in many recently published papers. In this paper, two presentations of SA on the traditional display device will be discussed. Then we will review the current research work on fractal image compression based on SA using both presentations. The FIC performance on SA will be compared with it on the traditional square structure in terms of compression ratio and PSNR. In the experimental results, higher PSNR values can be achieved at various compression ratios for all test images. The preliminary research on this direction has shown a promising future of applying FIC on SA to further improve the compression performance.

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http://hdl.handle.net/10453/9119