Analiza metodelor de restaurare a imaginilor distorsionate, efectuate cu ajutorul sistemelor opto-electronice

CAPCANARI, Ion; SOROCHIN, Gherman; PURCI, Gheorghe

dc.contributor.author	CAPCANARI, Ion
dc.contributor.author	SOROCHIN, Gherman
dc.contributor.author	PURCI, Gheorghe
dc.date.accessioned	2019-03-27T09:25:09Z
dc.date.available	2019-03-27T09:25:09Z
dc.date.issued	2017
dc.identifier.citation	CAPCANARI, Ion, ȘESTACOV, Tatiana, SOROCHIN, Gherman, PURCI, Gheorghe. Analiza metodelor de restaurare a imaginilor distorsionate, efectuate cu ajutorul sistemelor opto-electronice [Resursă electronică]. In: Conferința Tehnico-Științifică a Colaboratorilor, Doctoranzilor și Studenților, Universitatea Tehnică a Moldovei, 1-14 decembrie, 2016. Chișinău, 2017, vol. 1, pp. 27-30. ISBN 978-9975-45-500-8. ISBN 978-9975-45-501-5 (Vol.1).	en_US
dc.identifier.isbn	978-9975-45-500-8
dc.identifier.uri	http://repository.utm.md/handle/5014/1355
dc.description	Resursă electronică	en_US
dc.description.abstract	In the work were shown the causes of distortions of images such as blurring, defocusing and noise. The known methods for restoring the distorted image: inverse filtering, filtering by minimizing the standard deviation (Wiener filter) filtration method to minimize the smoothing functional with a link (Tikhonov regularization), a non-linear iterative algorithm Lucy-Richardson (maximum likelihood method) were considered. A comparison of these algorithms identified their strengths and weaknesses in relation to recovery was held on. The directions for further research were determined.	en_US
dc.language.iso	ro	en_US
dc.publisher	Tehnica UTM	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	imagini distorsionate	en_US
dc.subject	filtrare inversă	en_US
dc.subject	algoritmi iterativi	en_US
dc.title	Analiza metodelor de restaurare a imaginilor distorsionate, efectuate cu ajutorul sistemelor opto-electronice	en_US
dc.type	Article	en_US