• DocumentCode
    1568518
  • Title

    Hyperanalytic Thresholding

  • Author

    Olhede, Sofia Charlotta

  • Author_Institution
    Dept. of Math., Imperial Coll. London, UK
  • fYear
    2006
  • Firstpage
    1421
  • Lastpage
    1424
  • Abstract
    A new thresholding criterion is introduced, and combined with a local function decomposition, to form an estimate of a deterministic image immersed in white noise. The purpose of the new threshold is to construct image estimates exhibiting continuity jointly across spatial location and spatial frequency. The new threshold criterion is based on the magnitudes of the local decomposition coefficients of the image and phase-shifted versions of the image. Two possible sets of phase-shifted versions are used, and suitable universal thresholds noted. The additional computational cost of the proposed procedure is minor, and thus it makes an attractive improvement to existing thresholding methodology. Examples are given where the reconstructed image, using the new threshold, has improved visual characteristics, as well as a reduced mean square error.
  • Keywords
    image segmentation; white noise; local function decomposition; phase-shifted version; thresholding criterion; white noise; Educational institutions; Frequency estimation; Image coding; Image reconstruction; Image representation; Mathematics; Mean square error methods; Tensile stress; Wavelet coefficients; White noise; Hilbert transforms; Image Reconstruction; Image Representation; Threshold Coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312693
  • Filename
    4106806