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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Veröffentlicht in:	IET image processing Jg. 14; H. 14; S. 3422 - 3432
Hauptverfasser:	Deledalle, Charles-Alban, Gilles, Jérôme
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 01.12.2020
Schlagworte:	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
Online-Zugang:	Volltext
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