Parallel Gradient Domain Processing of Massive Images

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dc.contributor.authorPhilip, Sujinen_US
dc.contributor.authorSumma, Brianen_US
dc.contributor.authorBremer, Peer-Timoen_US
dc.contributor.authorPascucci, Valerioen_US
dc.contributor.editorTorsten Kuhlen and Renato Pajarola and Kun Zhouen_US
dc.date.accessioned2014-01-26T16:57:04Z
dc.date.available2014-01-26T16:57:04Z
dc.date.issued2011en_US
dc.description.abstractGradient domain processing remains a particularly computationally expensive technique even for relatively small images. When images become massive in size, giga or terapixel, these problems become particularly troublesome and the best serial techniques take on the order of hours or days to compute a solution. In this paper, we provide a simple framework for the parallel gradient domain processing. Specifically, we provide a parallel out-of-core method for the seamless stitching of gigapixel panoramas in a parallel MPI environment. Unlike existing techniques, the framework provides both a straightforward implementation, maintains strict control over the required/allocated resources, and makes no assumptions on the speed of convergence to an acceptable image. Furthermore, the approach shows good weak/strong scaling from several to hundreds of cores and runs on a variety of hardware.en_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.isbn978-3-905674-32-3en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV11/011-019en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.2 [Computer Graphics]: Graphics Systems- Distributed/network graphics I.3.3 [Computer Graphics]: Picture/Image Generationen_US
dc.titleParallel Gradient Domain Processing of Massive Imagesen_US
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EGPGV11: Eurographics Symposium on Parallel Graphics and Visualization