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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F14%3APU110653%21RIV15-MSM-26210___
rdf:type
n14:Vysledek skos:Concept
dcterms: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
dcterms: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
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
skos:notation
RIV/00216305:26210/14:PU110653!RIV15-MSM-26210___
n3:aktivita
n17:S
n3:aktivity
S
n3:cisloPeriodika
8
n3:dodaniDat
n11:2015
n3:domaciTvurceVysledku
n12:8961905
n3:druhVysledku
n15:J
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
31111
n3:idVysledku
RIV/00216305:26210/14:PU110653
n3:jazykVysledku
n13:eng
n3:klicovaSlova
Image processing, Corona
n3:klicoveSlovo
n5:Corona n5:Image%20processing
n3:kodStatuVydavatele
NL - Nizozemsko
n3:kontrolniKodProRIV
[9E679FED54BC]
n3:nazevZdroje
Solar Physics
n3:obor
n9:BN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n11:2014
n3:svazekPeriodika
2014 (289)
n3:tvurceVysledku
Morgan, Huw Druckmüller, Miloslav
s:issn
0038-0938
s:numberOfPages
11
n6:organizacniJednotka
26210