Local covariance filtering for color images

  • Authors:
  • Keiichiro Shirai;Masahiro Okuda;Takao Jinno;Masayuki Okamoto;Masaaki Ikehara

  • Affiliations:
  • Shinshu Univ., Japan;Univ. of Kitakyushu, Japan;Toyohashi Tech., Japan;Shinshu Univ., Japan;Keio Univ., Japan

  • Venue:
  • ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
  • Year:
  • 2012

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Abstract

In this paper, we introduce a novel edge-aware filter that manipulates the local covariances of a color image. A covariance matrix obtained at each pixel is decomposed by the singular value decomposition (SVD), then diagonal eigenvalues are filtered by characteristic control functions. Our filter form generalizes a wide class of edge-aware filters. Once the SVDs are calculated, users can control the filter characteristic graphically by modifying the curve of the characteristic control functions, just like tone curve manipulation while seeing a result in real-time. We also introduce an efficient iterative calculation of the pixel-wise SVD which is able to significantly reduce its execution time.