DENOISING APPROACH FOR HIGH-RESOLUTION COMPUTED TOMOGRAPHY DATA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F18%3APU128960" target="_blank" >RIV/00216305:26620/18:PU128960 - 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
DENOISING APPROACH FOR HIGH-RESOLUTION COMPUTED TOMOGRAPHY DATA
Original language description
Noise presence in CT (computed tomography) data distorts acquired information and negatively affects data interpretation, therefore denoising has become important pre-processing step of CT data analysis. Until today many efforts have been done regarding noise reduction in field of low-dose (medical) CT but no complex denoising methodology and noise properties knowledge exist for submicron computed tomography. This work presents preliminary results of ongoing research regarding noise reduction in submicron CT data. New algorithms for noise properties estimation and noise reduction were proposed and their functionality tested on data from laboratory based system (Rigaku nano3DX machine) equipped with CCD detector.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/LQ1601" target="_blank" >LQ1601: CEITEC 2020</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů