A Parallel Computing Algorithm for Improving the Speed of Fractal Image Compression Based on Spiral Architecture
نویسنده
چکیده
In recent years Fractal image compression techniques have gained more interest because of their capability to achieve high compression ratios while maintaining very good quality of the reconstructed image. Since Fractal image compression is computationally very expensive, some researchers tried to parallelize the encoding algorithm. Spiral Architecture is a relatively new and powerful approach to general-purpose machine vision system. On this novel architecture, Spiral Addition and Multiplication achieve image processing. In this paper a parallel implement based on Spiral Architecture will be presented, keeping the compression ratio of Fractal image compression at maximal.
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