Image Quality Measures Based on Entropy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F16%3A43902395" target="_blank" >RIV/60461373:22340/16:43902395 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Image Quality Measures Based on Entropy
Original language description
The paper is focused on the relationship between SNR, Hartley and Shannon entropies. Novel characteristic called logarithmic sensitivity of entropy is proposed to optimize digital filter design. The best quality of image reconstruction corresponds with the extreme of logarithmic sensitivity of entropy and maximum SNR, of course. The estimation of SNR is trivial but based on knowledge of an ideal image. Nonparametric estimate of Shannon entropy was directly used with original tuning strategy. Novelty of the paper is in the estimation method for Hartley entropy and in the development and application of logarithmic sensitivity of entropy.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MENDEL 2016 - 22nd International Conference on Soft Computing
ISBN
978-80-214-5365-4
ISSN
1803-3814
e-ISSN
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Number of pages
8
Pages from-to
209-216
Publisher name
TU Brno
Place of publication
Brno
Event location
Brno
Event date
Jun 8, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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