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GPU accelerated processing of astronomical high frame-rate videosequences

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00233455" target="_blank" >RIV/68407700:21230/15:00233455 - isvavai.cz</a>

  • Alternative codes found

    RIV/60461373:22340/15:43899481

  • Result on the web

    <a href="http://dx.doi.org/10.1117/12.2188610" target="_blank" >http://dx.doi.org/10.1117/12.2188610</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1117/12.2188610" target="_blank" >10.1117/12.2188610</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    GPU accelerated processing of astronomical high frame-rate videosequences

  • Original language description

    Astronomical instruments located around the world are producing an incredibly large amount of possibly interesting scientific data. Astronomical research is expanding into large and highly sensitive telescopes. Total volume of data rates per night of operations also increases with the quality and resolution of state-of-the-art CCD/CMOS detectors. Since many of the ground-based astronomical experiments are placed in remote locations with limited access to the Internet, it is necessary to solve the problem of the data storage. It mostly means that current data acquistion, processing and analyses algorithm require review. Decision about importance of the data has to be taken in very short time. This work deals with GPU accelerated processing of high frame-rate astronomical video-sequences, mostly originating from experiment MAIA (Meteor Automatic Imager and Analyser), an instrument primarily focused to observing of faint meteoric events with a high time resolution. The instrument with price bellow 2000 euro consists of image intensifier and gigabite ethernet camera running at 61 fps. With resolution better than VGA the system produces up to 2TB of scientifically valuable video data per night. Main goal of the paper is not to optimize any GPU algorithm, but to propose and evaluate parallel GPU algorithms able to process huge amount of video-sequences in order to delete all uninteresting data.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-25251S" target="_blank" >GA14-25251S: Nonlinear imaging systems with spatially variant point spread function</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Applications of Digital Image Processing XXXVIII

  • ISBN

    978-1-62841-765-4

  • ISSN

    0277-786X

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    "95992L-1"-"95992L-9"

  • Publisher name

    SPIE

  • Place of publication

    Bellingham

  • Event location

    San Diego, California

  • Event date

    Aug 9, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000366385200077