Patch reprojections for Non-Local methods

  • Authors:
  • Joseph Salmon;Yann Strozecki

  • Affiliations:
  • LPMA/UMR 7599, Université Paris Diderot Paris 7, Boíte courrier 7012, 75251 PARIS Cedex 05 France;íquipe de Logique Mathématique, Université Paris Diderot Paris 7, UFR de mathématiques case 7012, site Chevaleret 75205 Paris Cedex 13 France

  • Venue:
  • Signal Processing
  • Year:
  • 2012

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Abstract

Since their introduction in image denoising, the family of non-local methods, whose Non-Local Means (NL-Means) is the most famous member, has proved its ability to challenge other powerful methods such as wavelet based approaches or variational techniques. Though simple to implement and efficient in practice, the classical NL-Means algorithm suffers from several limitations: noise artifacts are created around edges and regions with few repetitions in the image are not treated at all. In this paper, we present an easy to implement and time efficient modification of the NL-Means based on a better reprojection from the patches space to the original pixel space, specially designed to reduce the artifacts due to the rare patch effect. We compare the performance of several reprojection schemes on a toy example and on some classical natural images.