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Hybrid MPI-OpenMP Parallelization Of Image Reconstruction

机译:图像重建的混合MPI-OpenMP并行化

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摘要

Perceptual coding should take full advantage of the results from human visual system (HVS) studies. In this paper, we exploit an image reconstruction algorithm, which can simply and reliably represent images using regional shape and texture information and effectually eliminate perceptual redundancy. But real-time application of the algorithm is limited due to its inherent complex and intensive computation. Therefore, we implement image reconstruction with a hybrid message passing interface (MPI) and OpenMP approach on the basis of a standard MPI implementation. Experimental results confirm our image reconstruction algorithm can get optimal restoration results. Compared with JPEG and JPEG2000 compression, this algorithm can not only get more coding gain but remain most information people care. Our hybrid MPI-OpenMP approach can significantly improve time performance of image reconstruction algorithm.
机译:感知编码应充分利用人类视觉系统(HVS)研究的结果。在本文中,我们利用图像重建算法,该算法可以使用区域形状和纹理信息简单可靠地表示图像,并有效消除感知冗余。但是由于其固有的复杂和密集的计算,该算法的实时应用受到限制。因此,我们在标准MPI实现的基础上使用混合消息传递接口(MPI)和OpenMP方法实现图像重建。实验结果证明我们的图像重建算法可以获得最佳的恢复效果。与JPEG和JPEG2000压缩相比,该算法不仅可以获得更多的编码增益,而且可以保留大多数人关心的信息。我们的混合MPI-OpenMP方法可以显着提高图像重建算法的时间性能。

著录项

  • 来源
    《Journal of software》 |2013年第3期|687-693|共7页
  • 作者

    Jinliang Wan; Yanhui Liu;

  • 作者单位

    College of Computer and Information Engineering, Henan University of Economics and Law Zhengzhou, China;

    State Key Laboratory for Seismic Reduction/Control & Structural Safety (Cultivation), Guangzhou University Guangzhou, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    human visual system; image reconstruction; parallel processing;

    机译:人类视觉系统影像重建;并行处理;

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