A parallel architecture for quadtree-based fractal image coding

This paper proposes a parallel architecture for quadtree-based fractal image coding. This architecture is capable of performing the fractal image coding based on quadtree partitioning without the external memory for the fixed domain pool. Since a large domain block consists of small domain blocks, the calculations of distortion for all kinds of domain blocks are performed by the summation of the distortions for the maximum-depth domain pool which is extracted from the smallest range blocks of the neighbor processors. Fast comparison module is proposed for this architecture. This module can compute the distortions between range blocks and their eight isometric transformations by one full rotation around the center