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    STUDIA INFORMATICA - Issue no. 2 / 2004  
         
  Article:   MAXIMAL PROCESSOR UTILIZATION IN PARALLEL QUADTREE-BASED FRACTAL IMAGE COMPRESSION ON MIMD ARCHITECTURES.

Authors:  BODO ZALAN-PETER. 		 
       
         
  Abstract:  Since fractal image compression is computationally very expen- sive, some researchers tried to parallelize the encoding algorithm. Because this algorithm is applied independently for some image blocks, fractal im- age compression implicitly encompasses parallelism. The quadtree-based compression proceeds recursively and terminates when the previously fixed threshold remains unexceeded, therefore one cannot be able to calculate and store the whole domain pool for classification. This, however, can result some idle processors during the encoding, which is undesirable. In this paper a parallel implementation devoid of classification will be presented, keeping the number of idle processors at minimal.  
         
     
         
         
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