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Description
  • Extreme ultra-violet images of the corona contain information over a wide range of spatial scales, and different structures such as active regions, quiet Sun, and filament channels contain information at very different brightness regimes. Processing of these images is important to reveal information, often hidden within the data, without introducing artefacts or bias. It is also important that any process be computationally efficient, particularly given the fine spatial and temporal resolution of Atmospheric Imaging Assembly on the Solar Dynamics Observatory (AIA/SDO), and consideration of future higher resolution observations. A very efficient process is described here, which is based on localised normalising of the data at many different spatial scales. The method reveals information at the finest scales whilst maintaining enough of the larger-scale information to provide context. It also intrinsically flattens noisy regions and can reveal structure in off-limb regions out to the edge of the field o
  • Extreme ultra-violet images of the corona contain information over a wide range of spatial scales, and different structures such as active regions, quiet Sun, and filament channels contain information at very different brightness regimes. Processing of these images is important to reveal information, often hidden within the data, without introducing artefacts or bias. It is also important that any process be computationally efficient, particularly given the fine spatial and temporal resolution of Atmospheric Imaging Assembly on the Solar Dynamics Observatory (AIA/SDO), and consideration of future higher resolution observations. A very efficient process is described here, which is based on localised normalising of the data at many different spatial scales. The method reveals information at the finest scales whilst maintaining enough of the larger-scale information to provide context. It also intrinsically flattens noisy regions and can reveal structure in off-limb regions out to the edge of the field o (en)
Title
  • Multi-Scale Gaussian Normalization for Solar Image Processing Multi-Scale Gaussian Normalization for Solar Image Processing Multi-Scale Gaussian Normalization for Solar Image Processing
  • Multi-Scale Gaussian Normalization for Solar Image Processing Multi-Scale Gaussian Normalization for Solar Image Processing Multi-Scale Gaussian Normalization for Solar Image Processing (en)
skos:prefLabel
  • Multi-Scale Gaussian Normalization for Solar Image Processing Multi-Scale Gaussian Normalization for Solar Image Processing Multi-Scale Gaussian Normalization for Solar Image Processing
  • Multi-Scale Gaussian Normalization for Solar Image Processing Multi-Scale Gaussian Normalization for Solar Image Processing Multi-Scale Gaussian Normalization for Solar Image Processing (en)
skos:notation
  • RIV/00216305:26210/14:PU110653!RIV15-MSM-26210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • 8
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 31111
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/14:PU110653
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Image processing, Corona (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [9E679FED54BC]
http://linked.open...i/riv/nazevZdroje
  • Solar Physics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2014 (289)
http://linked.open...iv/tvurceVysledku
  • Druckmüller, Miloslav
  • Morgan, Huw
issn
  • 0038-0938
number of pages
http://localhost/t...ganizacniJednotka
  • 26210
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