Review of Noise Reduction Methods and Estimation of their Effectiveness for Medical Endoscopic Images Processing

The paper is devoted to the analysis of the efficiency of different algorithms for noise reduction on medical images in endoscopy. The algorithms of adaptive median filtering., KNN filtering., block matching filtering (Non local means and 3DBM) are analyzed. The conclusions and the recommendations f...

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Main Authors: Natalia Obukhova, Alexandr Motyko, Alexandr Pozdeev, Boris Timofeev
Format: Article
Language:English
Published: FRUCT 2018-05-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://fruct.org/publications/fruct22/files/Obu.pdf
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author Natalia Obukhova
Alexandr Motyko
Alexandr Pozdeev
Boris Timofeev
author_facet Natalia Obukhova
Alexandr Motyko
Alexandr Pozdeev
Boris Timofeev
author_sort Natalia Obukhova
collection DOAJ
description The paper is devoted to the analysis of the efficiency of different algorithms for noise reduction on medical images in endoscopy. The algorithms of adaptive median filtering., KNN filtering., block matching filtering (Non local means and 3DBM) are analyzed. The conclusions and the recommendations for the implementation of these algorithms in clinical decision support systems in endoscopy are given.
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spelling doaj.art-ed725fdee33f4f8d9a0dee8606ab23f22022-12-21T23:06:30ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372018-05-014262220421010.23919/FRUCT.2018.8468285Review of Noise Reduction Methods and Estimation of their Effectiveness for Medical Endoscopic Images ProcessingNatalia Obukhova0Alexandr Motyko1Alexandr Pozdeev2Boris Timofeev3LETI, Saint Petersburg Electrotechnical University, Saint Petersburg, RussiaLETI, Saint Petersburg Electrotechnical University, Saint Petersburg, RussiaLETI, Saint Petersburg Electrotechnical University, Saint Petersburg, RussiaSaint Petersburg State University of Aerospace Instrumentation, Saint Petersburg, RussiaThe paper is devoted to the analysis of the efficiency of different algorithms for noise reduction on medical images in endoscopy. The algorithms of adaptive median filtering., KNN filtering., block matching filtering (Non local means and 3DBM) are analyzed. The conclusions and the recommendations for the implementation of these algorithms in clinical decision support systems in endoscopy are given.https://fruct.org/publications/fruct22/files/Obu.pdf medical image processingnoise reduction algorithmsadaptive mediannon local meanBM3D
spellingShingle Natalia Obukhova
Alexandr Motyko
Alexandr Pozdeev
Boris Timofeev
Review of Noise Reduction Methods and Estimation of their Effectiveness for Medical Endoscopic Images Processing
Proceedings of the XXth Conference of Open Innovations Association FRUCT
medical image processing
noise reduction algorithms
adaptive median
non local mean
BM3D
title Review of Noise Reduction Methods and Estimation of their Effectiveness for Medical Endoscopic Images Processing
title_full Review of Noise Reduction Methods and Estimation of their Effectiveness for Medical Endoscopic Images Processing
title_fullStr Review of Noise Reduction Methods and Estimation of their Effectiveness for Medical Endoscopic Images Processing
title_full_unstemmed Review of Noise Reduction Methods and Estimation of their Effectiveness for Medical Endoscopic Images Processing
title_short Review of Noise Reduction Methods and Estimation of their Effectiveness for Medical Endoscopic Images Processing
title_sort review of noise reduction methods and estimation of their effectiveness for medical endoscopic images processing
topic medical image processing
noise reduction algorithms
adaptive median
non local mean
BM3D
url https://fruct.org/publications/fruct22/files/Obu.pdf
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AT alexandrpozdeev reviewofnoisereductionmethodsandestimationoftheireffectivenessformedicalendoscopicimagesprocessing
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