Detail publikace

DENOISING APPROACH FOR HIGH-RESOLUTION COMPUTED TOMOGRAPHY DATA

ŠALPLACHTA, J. ZIKMUND, T. KAISER, J.

Originální název

DENOISING APPROACH FOR HIGH-RESOLUTION COMPUTED TOMOGRAPHY DATA

Typ

abstrakt

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

CT, High-Resolution Data, Noise Variance Estimation, Noise Reduction

Autoři

ŠALPLACHTA, J.; ZIKMUND, T.; KAISER, J.

Vydáno

18. 7. 2018

Nakladatel

IADIS Press

Místo

Madrid

ISBN

978-989-8533-79-1

Kniha

PROCEEDINGS OF THE INTERNATIONAL CONFERENCES: INTERFACES AND HUMAN COMPUTER INTERACTION 2018, GAME AND ENTERTAINMENT TECHNOLOGIES 2018 and COMPUTER GRAPHICS, VISUALIZATION, COMPUTER VISION AND IMAGE PROCESSING 2018

Edice

1

Číslo edice

1

Strany od

439

Strany do

441

Strany počet

3

BibTex

@misc{BUT149834,
  author="Jakub {Šalplachta} and Tomáš {Zikmund} and Jozef {Kaiser}",
  title="DENOISING APPROACH FOR HIGH-RESOLUTION COMPUTED TOMOGRAPHY DATA",
  booktitle="PROCEEDINGS OF THE INTERNATIONAL CONFERENCES: INTERFACES AND HUMAN COMPUTER INTERACTION 2018, GAME AND ENTERTAINMENT TECHNOLOGIES 2018 and COMPUTER GRAPHICS, VISUALIZATION, COMPUTER VISION AND IMAGE PROCESSING 2018",
  year="2018",
  series="1",
  edition="1",
  pages="439--441",
  publisher="IADIS Press",
  address="Madrid",
  isbn="978-989-8533-79-1",
  note="abstract"
}