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

Huaqing Wang, Xiangjian He, Qiang Wu, Tom Hintz

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 18th International Conference on Pattern Recognition, ICPR 2006
Pages909-912
Number of pages4
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: 20 Aug 200624 Aug 2006

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume3
ISSN (Print)1051-4651

Conference

Conference18th International Conference on Pattern Recognition, ICPR 2006
Country/TerritoryChina
CityHong Kong
Period20/08/0624/08/06

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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