Use of blur-space for deblurring and edge-preserving noise smoothing

  • Authors:

  • J. Immerkaer

  • Affiliations:

  • Maersk Inst. for Production Technol., Southern Denmark Univ., Odense

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2001

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Abstract

The Gaussian blur-space for an unblurred nD-image I is the set of the images obtained by blurring I with multivariate nD-Gaussians. Using the variance, instead of the standard deviation, of a Gaussian as blur parameter makes it simpler to extrapolate a deblurred image from a blurred image. Unsharp masking is shown to be a special case of the use of blur-space. Algorithms using blur-space for deblurring and edge-preserving noise smoothing, without explicit edge detection, are described and implemented