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PARALLEL IMPLEMENTATION OF DOMAIN DECOMPOSITION BASED IMAGE COMPRESSION ALGORITHM

机译:基于域分解的图像压缩算法的并行实现

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摘要

This paper presents algorithms for parallel implementation of the recently reported binary tree triangular coding (BTTC) method for lossy image compression. We present parallel BTTC algorithms for four models: (1) parallel random access machine (PRAM), (2) hypercube, (3) 2-D mesh, and (4) sparse mesh, with their respective time complexities as O((n/p) log(n/p)), O((n/p) (log(n/p) + logp)), 0((n/p) (log(n/p) + log p{sup}(1/2))), and O((n/p) (log(n/p) + log p)) for encoding and θ(n/p), θ((n/p)(1 + log p)), θ((n/p) (1 + log p{sup}(1/2))), and θ((n/p) (1 + log p)) for decoding, where n is total number of pixels in the image and p is number of processors.
机译:本文提出了用于并行实现有损图像压缩的最近报道的二叉树三角编码(BTTC)方法的算法。我们为四种模型提供了并行BTTC算法:(1)并行随机访问机器(PRAM),(2)超立方体,(3)二维网格和(4)稀疏网格,它们各自的时间复杂度为O((n / p)log(n / p)),O((n / p)(log(n / p)+ logp)),0((n / p)(log(n / p)+ log p {sup} (1/2)))和O((n / p)(log(n / p)+ log p))进行编码和θ(n / p),θ((n / p)(1 + log p )),用于解码的θ((n / p)(1 + log p {sup}(1/2)))和θ((n / p)(1 + log p)),其中n是图像中的像素,p是处理器数。

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