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Fast Prototype Based Noise Reduction
Sapheneia Commercial Products AB, Linköping, Sweden .
Sapheneia Commercial Products AB, Linköping, Sweden .
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9267-2191
2009 (English)In: Image Analysis: 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009. Proceedings, Springer Berlin/Heidelberg, 2009, 1, 159-168 p.Conference paper (Refereed)
Abstract [en]

This paper introduces a novel method for noise reduction in medical images based on concepts of the Non-Local Means algorithm. The main objective has been to develop a method that optimizes the processing speed to achieve practical applicability without compromising the quality of the resulting images. A database consisting of prototypes, composed of pixel neighborhoods originating from several images of similar motif, has been created. By using a dedicated data structure, here Locality Sensitive Hashing (LSH), fast access to appropriate prototypes is granted. Experimental results show that the proposed method can be used to provide noise reduction with high quality results in a fraction of the time required by the Non-local Means algorithm.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2009, 1. 159-168 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 5575
Keyword [en]
Image Noise Reduction, Prototype, Non-Local
National Category
Biomedical Laboratory Science/Technology
URN: urn:nbn:se:liu:diva-58081DOI: 10.1007/978-3-642-02230-2_17ISBN: 978-3-642-02229-6ISBN: e-978-3-642-02230-2OAI: diva2:331909
16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009
Available from: 2010-08-23 Created: 2010-07-28 Last updated: 2014-10-08Bibliographically approved

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