VSA-based fractal image compression

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dc.contributor.author Wang, H
dc.contributor.author Wang, M
dc.contributor.author Hintz, T
dc.contributor.author Wu, Q
dc.contributor.author He, X
dc.date.accessioned 2009-12-21T03:52:29Z
dc.date.issued 2005
dc.identifier.citation 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Full Papers, 2005, pp. 89 - 96
dc.identifier.isbn 9788090310070
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/5743
dc.description.abstract Spiral Architecture (SA) is a novel image structure which has hexagons but not squares as the basic elements. Apart from many other advantages in image processing, SA has shown two unbeatable characters that have potential to improve image compression performance, namely, Locality of Pixel Density and Uniform Image Partitioning. Fractal image compression is a relatively recent image compression method which exploits similarities in different parts of the image. The basic idea is to represent an image as fixed points of Iterated Function Systems (IFS). Therefore, an input image can be represented by a series of IFS codes rather than pixels. In this way, an amazing compression ratio 10000:1 can be achieved. The application of fractal image compression presented in this paper is based on Spiral Architecture. Since there is no mature capture and display device for hexagon-based images, the experiments are implemented on a newly proposed mimic scheme, called Virtual Spiral Architecture (VSA). The experimental results in the paper have shown that introducing Spiral Architecture into fractal image compression will improve the compression performance in image quality with little trade-off in compression ratio. A lot of research work exists in this area to further improve the results. Copyright UNION Agency - Science Press.
dc.language eng
dc.title VSA-based fractal image compression
dc.type Journal Article
dc.parent 13th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005, WSCG'2005 - In Co-operation with EUROGRAPHICS, Full Papers
dc.journal.number 1-3 en_US
dc.publocation Plzen, Czech Republic en_US
dc.identifier.startpage 89 en_US
dc.identifier.endpage 96 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 080106 Image Processing
dc.for 080499 Data Format Not Elsewhere Classified
dc.for 080401 Coding and Information Theory
dc.personcode 830145
dc.personcode 990421
dc.personcode 000748
dc.personcode 040665
dc.percentage 60 en_US
dc.classification.name Coding and Information Theory en_US
dc.classification.type FOR-08 en_US
dc.description.keywords Fractals
dc.description.keywords Hexagonal structure
dc.description.keywords Image compression
dc.description.keywords Image encoding
dc.description.keywords Virtual Spiral Architecture
pubs.embargo.period Not known
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 Computing and Communications
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
pubs.consider-herdc true
utslib.collection.history General (ID: 2)


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