Deconvolution Techniques for Nanostructure Image Processing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F13%3A43895097" target="_blank" >RIV/60461373:22340/13:43895097 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Deconvolution Techniques for Nanostructure Image Processing
Original language description
This paper deals with deconvolution as a tool for improvement image quality. It is assumed that tested images are mainly distorted by effect of interference and defocusing during their formation process. Three selected deconvolution techniques are compared in the paper, The Gold Iterative Algorithm, The Nearest Neighbors Algorithm, and Blind Deconvolution Algorithms. Work is mainly focused on their application in nanostructure image preprocessing. In the first part of the paper, mathematical backgroundof selected methods is briefly introduced. In the next part, all techniques are tested on real microscope images and their results are compared. Based on results obtained, the Gold iterative algorithm is presented as the most suitable solution for this type of images.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 19th International Conference on Soft Computing Mendel 2013
ISBN
978-80-214-4755-4
ISSN
1803-3814
e-ISSN
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Number of pages
6
Pages from-to
369-374
Publisher name
Brno University of Technology, Faculty of Mechanical Engineering
Place of publication
Brno
Event location
Brno
Event date
Jun 26, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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