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Bounded Non-Local Means for Fast and Effective Image Denoising

  • Federico TombariEmail author
  • Luigi Di Stefano
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9280)

Abstract

Non-Local Means (NLM) is a powerful but computationally expensive image denoising algorithm, which estimates a noiseless pixel as a weighted average across a large surrounding region whereby pixels centered at more similar patches are given higher weights. In this paper, we propose a method aimed at improving the computational efficiency of NLM by quick pre-selection of dissimilar patches thanks to a rapidly computable upper bound of the weighting function. Unlike previous approaches, our technique mathematically guarantees all highly correlated patches to be accounted for while discarding dissimilar ones, this providing not only faster speed but improved denoising too.

Keywords

Non local means Image denoising Fast bounding method 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.University of BolognaBolognaItaly

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