应用MPICH并行化图像处理算法

Parallelizing Algorithms of Image Processing Using MPICH

近年来,图像处理技术取得了巨大进步,但随之也带来了不断增长的计算量。为了提高图像处理速度,作为主流解决方案之一的基于MPI的并行处理技术日益受到重视。文中首先介绍了MPI的基本知识,然后以图像处理中的一项重要技术-图像锐化(采用梯度算法)为例,说明了采用MPI对图像进行并行处理的具体过程,并就其中的两个核心步骤:建立并行算法模型及程序代码的编写进行了详细的阐述。最后通过对实验数据的分析说明了并行计算在图像处理领域所起到的重要作用。

Recently with the development of image processing technique, computational cost increases greatly. To improve the speed of image processing,parallel-computing cluster based on MPI as mainstream solution is paid more attention. First, the basic knowledge of MPI is introduced. And then the parallelization of image gradient sharpening is taken as example. In this example, the general process of parallelization for image processing is described in detail：modeling and program implementation. At last the experimental data show the important function of parallel-computing in image processing area.