A parallel framework for texture substitution coding

J. Wan, Jinbao Song, Long Ye, Qin Zhang
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引用次数: 4

Abstract

Image can be parsed into two main categories of representation: structure contour and region texture. However, real-time application of TSC is limited due to its inherent complexity and computational intensity. In this paper, we proposed a distributed parallel TSC framework based on MPI. This framework is implemented on a dedicated cluster. Experiments have demonstrated that our parallel framework can improve the TSC efficiency significantly and achieve optimal restoration.
纹理替换编码的并行框架
图像的表示可以分为两大类:结构轮廓和区域纹理。然而,由于TSC固有的复杂性和计算强度,其实时应用受到了限制。本文提出了一种基于MPI的分布式并行TSC框架。该框架在专用集群上实现。实验表明,我们的并行框架可以显著提高TSC效率,实现最优恢复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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