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Research on digital image processing based on MapReduce

Source: Internet
Author: User
Keywords Massive data Mapreduce hadoop platform
Tags access based computing computing model data data information designs digital
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Research on digital image processing based on MapReduce

Tian Jinhua Zhang Zhihi

With the increase of mass image data, the scale of data need to be processed is more and more large, in order to solve the problem of the access capacity and processing speed faced in processing massive data information, the research on MapReduce large-scale data set distributed computing model is studied. In this paper, the parallel processing of digital image based on MapReduce implementation is designed. The experimental results show that the MapReduce parallelization algorithm based on the Hadoop cluster has the characteristics of large scale, fast processing speed, high security and easy realization of data node, and can meet the requirements of massive data image processing.


Research on digital image processing based on MapReduce

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