Astronomical Image Denoising using Curvelet and Starlet Transform

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00205365" target="_blank" >RIV/68407700:21230/13:00205365 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/RadioElek.2013.6530927" target="_blank" >http://dx.doi.org/10.1109/RadioElek.2013.6530927</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/RadioElek.2013.6530927" target="_blank" >10.1109/RadioElek.2013.6530927</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Astronomical Image Denoising using Curvelet and Starlet Transform

Popis výsledku v původním jazyce

Astronomical image data acquisition under low light conditions causes higher noise occurrence in these data. There are a lot of noise sources including also the thermally generated noise (dark current) inside used astronomical CCD sensor and the Poissonnoise of the photon flux. There are specific image quality criteria in astronomy. These criteria are derived from the algorithms for astronomical image processing and are specific in the field of multimedia signal processing. Astrometric and photometricalgorithms provide information about stellar objects: their brightness profile (PSF), position and magnitude. They could fail because of lower SNR. This problem can be solved by subtraction a dark frame from a captured image nowadays. However, this method couldn't work properly in systems with shorter shutter speed and nonlinear sensitivity, such as for example the system MAIA (Meteor Automatic Imager and Analyser). Image data from these system could not been processed by conventional al

Název v anglickém jazyce

Astronomical Image Denoising using Curvelet and Starlet Transform

Popis výsledku anglicky

Astronomical image data acquisition under low light conditions causes higher noise occurrence in these data. There are a lot of noise sources including also the thermally generated noise (dark current) inside used astronomical CCD sensor and the Poissonnoise of the photon flux. There are specific image quality criteria in astronomy. These criteria are derived from the algorithms for astronomical image processing and are specific in the field of multimedia signal processing. Astrometric and photometricalgorithms provide information about stellar objects: their brightness profile (PSF), position and magnitude. They could fail because of lower SNR. This problem can be solved by subtraction a dark frame from a captured image nowadays. However, this method couldn't work properly in systems with shorter shutter speed and nonlinear sensitivity, such as for example the system MAIA (Meteor Automatic Imager and Analyser). Image data from these system could not been processed by conventional al

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

<a href="/cs/project/GA205%2F09%2F1302" target="_blank" >GA205/09/1302: Studium sporadických meteorů a slabých meteorických rojů s využitím automatických videokamer</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of 23th International Conference RADIOELEKTRONIKA 2013

ISBN

978-1-4673-5516-2

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

255-260

Název nakladatele

Univerzita Pardubice

Místo vydání

Pardubice

Místo konání akce

Pardubice

Datum konání akce

16. 4. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000326877900046