Enhancement of Night Movies Using Fuzzy Representation of Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA1701GNS" target="_blank" >RIV/61988987:17610/16:A1701GNS - 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
Enhancement of Night Movies Using Fuzzy Representation of Images
Original language description
A cheap personal camera is a perfect device that allows us to test algorithms for video enhancement. In this paper we present a cascade of filters based on a fuzzy representation of images. This representation tries to capture the uncertainty underlying in the intensity of a pixel by means of a fuzzy set. The cascade of filters is compared with the corresponding standard filters: blurring, sharpening and image averaging. Besides, experimentally we show that our approach provides similar results with a significant reduction of the computational time.
Czech name
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Czech description
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Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2016 IEEE International Conference on Fuzzy Systems (FUZZ)
ISBN
978-1-5090-0625-0
ISSN
1098-7584
e-ISSN
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Number of pages
6
Pages from-to
1349-1354
Publisher name
IEEE
Place of publication
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Event location
Vancouver
Event date
Jul 24, 2016
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
000392150700187

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