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A parallel architecture for quadtree-based fractal image coding

机译:基于四叉树的分形图像编码的并行架构

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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.
机译:本文提出了一种基于四叉树的分形图像编码的并行架构。这种体系结构能够基于四叉树分区执行分形图像编码,而无需使用用于固定域池的外部存储器。由于大的域块由小的域块组成,因此,所有类型的域块的失真计算都是通过对最大深度域池的失真求和来完成的,该最大深度域池是从相邻处理器的最小范围块中提取的。针对此体系结构提出了快速比较模块。通过围绕中心旋转一整周,该模块可以计算范围块及其八个等轴测变换之间的变形。

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