Fast Prototype Based Noise Reduction
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)
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
Image Noise Reduction, Prototype, Non-Local
Biomedical Laboratory Science/Technology
IdentifiersURN: 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: oai:DiVA.org:liu-58081DiVA: diva2:331909
16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009