Fast Prototype Based Noise Reduction

  • Kajsa Tibell
  • Hagen Spies
  • Magnus Borga
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5575)

Abstract

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.

Keywords

Image Noise Reduction Prototype Non-Local 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Kajsa Tibell
    • 1
  • Hagen Spies
    • 1
  • Magnus Borga
    • 2
  1. 1.Sapheneia Commercial Products ABLinkopingSweden
  2. 2.Department of Biomedical EngineeringLinkoping UniversityLinkopingSweden

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