Grid based high performance computing in satellite imagery. Case study — Perona–Malik filter

Belean B., Belean C., Floare C., Varodi C., Bot A., Adam G.
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The present paper discusses an approach to the efficient satellite image processing which involves two steps. The first step assumes the distribution of the steadily increasing volume of satellite collected data through a Grid infrastructure. The second step assumes the acceleration of the solution of the individual tasks related to image processing by implementing execution codes which make heavy use of spatial and temporal parallelism. An instance of such execution code is the image processing by means of the iterative Perona–Malik filter within FPGA application specific hardware architecture.

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Citation in English: Belean B., Belean C., Floare C., Varodi C., Bot A., Adam G. Grid based high performance computing in satellite imagery. Case study — Perona–Malik filter // Computer Research and Modeling, 2015, vol. 7, no. 3, pp. 399-406
Citation in English: Belean B., Belean C., Floare C., Varodi C., Bot A., Adam G. Grid based high performance computing in satellite imagery. Case study — Perona–Malik filter // Computer Research and Modeling, 2015, vol. 7, no. 3, pp. 399-406
DOI: 10.20537/2076-7633-2015-7-3-399-406
URL: http://crm-en.ics.org.ru/journal/article/2285/
Creative Commons License This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.
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