Fractal image coding in hexagonal grid images

Authors:
B. Balasubramaniyam;E. A. Edirisinghe;H. E. Bez
Affiliations:
Research School of Informatics, Department of Computer Science, Loughborough University, Holywell Park, Loughborough;Research School of Informatics, Department of Computer Science, Loughborough University, Holywell Park, Loughborough;Research School of Informatics, Department of Computer Science, Loughborough University, Holywell Park, Loughborough
Venue:
IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
Year:
2006

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Abstract

Fractal image compression techniques promise better compression capabilities as compared to the currently popular DCT and DWT based techniques. However the complexity of the encoding process makes it an unpopular choice in many application areas. On the other hand, traditionally, digital images have been captured, processed and displayed on rectangular (square) grids. Alternatively hexagonal grid pixel representations are able to provide more natural image capture and display capabilities due to its close correspondence with the human retina. In this paper we propose a fractal image coding scheme specifically designed to code images represented on a hexagonal grid. We show that the proposed scheme provides a better compression performance and an average, 30 fold improvement in speed, as compared to the application of traditional fractal image coding schemes to rectangular grid images.