An Image Processing System Based on Heterogeneous Embedded Multicore Processors

Liang Zhang, Peiyi Shen, Juan Song, Lb Dong, Guoxi Wang, Yuxin Cai

Abstract: Video and Image processing applications are notably time consuming, especially for large number of small image files and huge video files. Cloud computing gives a new processing method for such requirement, but almost all of the cloud computing platforms are based on super computers. In this paper, we propose a new method for one big image file's and large number of small image files' processing based on MapReduce and give a new idea of constructing the cloud computing platform based on heterogeneous embedded multi-core processors. From the experiment results, it can be seen that the proposed method is feasible and after analysis, we find the problems of embedded cloud computing platform based on Hadoop with MapReduce, and conclude the future research direction.