文献类型：期刊文献

英文题名：Hybrid mpi-openmp parallelization of image reconstruction

作者：Wan, Jinliang[1]; Liu, Yanhui[2]

第一作者：万金梁

通讯作者：Wan, J.

机构：[1] College of Computer and Information Engineering, Henan University of Economics and Law, Zhengzhou, China; [2] State Key Laboratory for Seismic Reduction/Control and Structural Safety [Cultivation], Guangzhou University, Guangzhou, China

第一机构：河南财经政法大学计算机与信息工程学院

年份：2013

卷号：8

期号：3

起止页码：687-693

外文期刊名：Journal of Software

收录：EI(收录号：20131216135125);Scopus(收录号：2-s2.0-84875034425)

语种：英文

外文关键词：Application programming interfaces (API) - Image enhancement - Message passing - Textures

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. ? 2013 ACADEMY PUBLISHER.