Stochastic and analytic modeling of atmospheric turbulence in image processing
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F18%3A00326729" target="_blank" >RIV/68407700:21340/18:00326729 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68407700:21230/18:00326211 RIV/68407700:21340/18:00326211
Výsledek na webu
<a href="http://dx.doi.org/10.1117/12.2321199" target="_blank" >http://dx.doi.org/10.1117/12.2321199</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2321199" target="_blank" >10.1117/12.2321199</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Stochastic and analytic modeling of atmospheric turbulence in image processing
Popis výsledku v původním jazyce
Modeling of atmospheric turbulence through Kolmogorov theorem belongs to raditional applications of 2D Fourier Transform (2D FT). It is based on Point Spread Function (PSF) in the spatial domain and its frequency domain image known as Optical Transfer Function (OTF). The latter is available in the explicit form. It enables to create an artificial fog effect in traditional image processing using 2D Discrete Fourier Transform (2D DFT). Exact knowledge of the Optical Transfer Function allows performing the image deblurring as deconvolution through Wiener method. The difference between the reference image and the deconvolution outcome can be quantified using SNR in traditional and rank modification. However, the real star image is a result of a stochastic process which is driven by 2D alpha-stable distribution. There is an efficient method how to generate a pseudorandom sample from the alpha-stable distribution. The distribution then enables to simulate the photon distribution following the theoretical PSF, i.e. convergence according to distribution is guaranteed. The comparison of both models and optimal parameter setting of Wiener deconvolution are studied for various exposure times and CCD camera noise levels.
Název v anglickém jazyce
Stochastic and analytic modeling of atmospheric turbulence in image processing
Popis výsledku anglicky
Modeling of atmospheric turbulence through Kolmogorov theorem belongs to raditional applications of 2D Fourier Transform (2D FT). It is based on Point Spread Function (PSF) in the spatial domain and its frequency domain image known as Optical Transfer Function (OTF). The latter is available in the explicit form. It enables to create an artificial fog effect in traditional image processing using 2D Discrete Fourier Transform (2D DFT). Exact knowledge of the Optical Transfer Function allows performing the image deblurring as deconvolution through Wiener method. The difference between the reference image and the deconvolution outcome can be quantified using SNR in traditional and rank modification. However, the real star image is a result of a stochastic process which is driven by 2D alpha-stable distribution. There is an efficient method how to generate a pseudorandom sample from the alpha-stable distribution. The distribution then enables to simulate the photon distribution following the theoretical PSF, i.e. convergence according to distribution is guaranteed. The comparison of both models and optimal parameter setting of Wiener deconvolution are studied for various exposure times and CCD camera noise levels.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA17-05840S" target="_blank" >GA17-05840S: Multikriteriální optimalizace modelů prostorově variantních zobrazovacích systémů</a><br>
Návaznosti
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings Volume 10752 - Applications of Digital Image Processing XLI
ISBN
9781510620759
ISSN
0277-786X
e-ISSN
1996-756X
Počet stran výsledku
4
Strana od-do
—
Název nakladatele
SPIE
Místo vydání
Bellingham
Místo konání akce
San Diego
Datum konání akce
19. 8. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—