Image denoising using bilateral filter in high dimensional PCA-space

  • Authors:
  • Quoc Bao Do;Azeddine Beghdadi;Marie Luong

  • Affiliations:
  • L2TI,University of Paris;L2TI,University of Paris;L2TI,University of Paris

  • Venue:
  • CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
  • Year:
  • 2011

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Abstract

This paper proposes a new noise filtering method inspired by Bilateral filter (BF), non-local means (NLM) filter and principal component analysis (PCA). The main idea here is to perform the BF in a multidimensional PCA-space using an anisotropic kernel. The filtered multidimensional signal is then transformed back onto the image spatial domain to yield the desired enhanced image. The proposed method is compared to the state-of-art. The obtained results are highly promising.