Blind atmospheric turbulence deconvolution

A new blind image deconvolution technique is developed for atmospheric turbulence deblurring to overcome limitations of ‘generic’ blind deconvolution algorithms that do not take into account the complicated physics of the turbulence. The originality of the proposed approach relies on an actual physi...

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Vydáno v:	IET image processing Ročník 14; číslo 14; s. 3422 - 3432
Hlavní autoři:	Deledalle, Charles-Alban, Gilles, Jérôme
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 01.12.2020
Témata:	actual physical model atmospheric turbulence atmospheric turbulence deblurring BATUD blind atmospheric turbulence deconvolution algorithm blind image deconvolution technique complicated physics deconvolution Fried kernel Gaussian mixture model Gaussian processes generic blind deconvolution algorithms image quality metrics image restoration iterative algorithm iterative methods natural image patches Research Article simulated turbulence scenarios iterative methods image quality metrics Fried kernel BATUD blind atmospheric turbulence deconvolution algorithm complicated physics simulated turbulence scenarios atmospheric turbulence iterative algorithm blind image deconvolution technique atmospheric turbulence deblurring Gaussian mixture model deconvolution image restoration natural image patches Gaussian processes generic blind deconvolution algorithms actual physical model
ISSN:	1751-9659, 1751-9667
On-line přístup:	Získat plný text
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