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Hybrid Fractal/Wavelet Image Compression in a High Performance Computing Environment

机译:高性能计算环境中的混合分形/小波图像压缩

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摘要

We propose new hybrid fractal/wavelet image compression algorithms which combine both schemes in the spetial and the transform domain. Whereas traditional fractal compression algorithms suffer from enormous execution times, the proposed algorithms exhibit a smaller and more predictable computational comlexity. We propose strategies for executing these algorithms on MIMD high performance computers and achieve an excellent efficiency in the parallel execution. This approach reduces the time demand of a (at least partially) fractal based compression scheme to the time demand of a transform based scheme while maintaining advantages of fractal compression.
机译:我们提出了新的混合分形/小波图像压缩算法,该算法在特殊域和变换域中结合了两种方案。传统的分形压缩算法需要大量的执行时间,而所提出的算法则显示出更小,更可预测的计算复杂度。我们提出了在MIMD高性能计算机上执行这些算法的策略,并在并行执行中实现了出色的效率。该方法将(至少部分地)基于分形的压缩方案的时间需求减少到基于变换的方案的时间需求,同时保持了分形压缩的优点。

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