On Bayer demosaicing impact on image sharpness in lens quality assessment

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU145077" target="_blank" >RIV/00216305:26220/22:PU145077 - isvavai.cz</a>
Result on the web
<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v2.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
On Bayer demosaicing impact on image sharpness in lens quality assessment
Original language description
In this short paper an ongoing research is introduced into the methods of simple lens quality assessment for low-cost computer vision applications. Also the paradigm of colour filter arrays (CFA), CFA images and their demosaicing are described. Further the paper introduces an experiment to compare selected demosaicing algorithms and their influences on image sharpness, and therefore on the lens quality assessment. Of the selected methods the AHD (Adaptive Homogeneity-Directed) algorithm proved the most suitable for the lens evaluation.
Czech name
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Czech description
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Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
PROCEEDINGS II OF THE 28TH STUDENT EEICT 2022 Selected Papers
ISBN
978-80-214-6030-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
291-296
Publisher name
Vysoké učené Technické, Fakulta elektrotechniky a komunikačních technologií
Place of publication
Brno
Event location
Brno
Event date
Apr 27, 2021
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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