IMAGE COMPRESSION USING RECURRENT BIVARIATE FRACTAL INTERPOLATION SURFACES-Reference-Cited by-同舟云学术

IMAGE COMPRESSION USING RECURRENT BIVARIATE FRACTAL INTERPOLATION SURFACES

Published:2006-07 Issue:07 Volume:16 Page:2063-2071
ISSN:0218-1274
Container-title:International Journal of Bifurcation and Chaos
language:en
Short-container-title:Int. J. Bifurcation Chaos

Author:

BOUBOULIS P.¹,DALLA LEONI²,DRAKOPOULOS V.³

Affiliation:

1. Department of Informatics and Telecommunications, Telecommunications and Signal Processing, University of Athens, Panepistimioupolis 157 84, Athens, Greece

2. Department of Mathematics, Mathematical Analysis, University of Athens, Panepistimioupolis 157 84, Athens, Greece

3. Department of Informatics and Telecommunications, Theoretical Informatics, University of Athens, Panepistimioupolis 157 84, Athens, Greece

Abstract

A new method for constructing recurrent bivariate fractal interpolation surfaces through points sampled on rectangular lattices is proposed. This offers the advantage of a more flexible fractal modeling compared to previous fractal techniques that used affine transformations. The compression ratio for the above mentioned fractal scheme as applied to real images is higher than other fractal methods or JPEG, though not as high as JPEG2000. Theory, implementation and analytical study are also presented.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modelling and Simulation,Engineering (miscellaneous)

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218127406015908

Reference10 articles.

1. BIVARIATE FRACTAL INTERPOLATION FUNCTIONS ON GRIDS

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