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The Computer Journal 1996 39(1):1-13; doi:10.1093/comjnl/39.1.1
© 1996 by British Computer Society
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Parallel Pipelined Fractal Image Compression using Quadtree Recomposition

D. J. Jackson * and W. Mahmoud *

Department of Electrical Engineering, 317 Houser Hall, The University of Alabama, Tuscaloosa, AL 35487, USA

In this paper we present a model and experimental results for performing parallel fractal image compression using circulating pipeline computation and employing a new quadtree recomposition approach. A circular linear array of processors is employed and utilized in a pipelined fashion. In this approach, a modification of the scheme given by Jackson and Blom, quadtree sub-blocks of an image are iteratively recombined into larger blocks for fractal coding. For complex images, this approach exhibits superior parallel runtime performance when compared to a classical quadtree decomposition scheme for fractal image compression, while maintaining high fidelity for reconstructured images. Quantitative results include parallel runtime comparisons with the decomposition approach for several images of varying complexity, an evaluation of attained compression ratios and SNR for reconstructed images. Experimental results using an nCUBE-2 supercomputer are presented.

Received May 30, 1995. revised November 17, 1995.

* Department of Electrical Engineering, 317 Houser Hall, The University of Alabama, Tuscaloosa, AL 35487, USA E-mail: jjackson{at}tiger.carl.ua.edu


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