• DocumentCode
    3287008
  • Title

    Closed form of the steered elongated Hermite-Gauss wavelets

  • Author

    Papari, Giuseppe ; Campisi, Patrizio ; Petkov, Nicolai

  • Author_Institution
    Johan Bernoulli Inst. of Math. & Comput. Sci., Univ. of Groningen, Groningen, Netherlands
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    377
  • Lastpage
    380
  • Abstract
    We provide a closed form, both in the spatial and in the frequency domain, of a family of wavelets which arise from steering elongated Hermite-Gauss filters. These wavelets have interesting mathematical properties, as they form new dyadic families of eigenfunctions of the 2D Fourier transform, and generalize the well known Laguerre-Gauss harmonics. A special notation introduced here greatly simplifies our proof and unifies the cases of even and odd orders. Applying these wavelets to edge detection increases the performance of about 12.5% with respect to standard methods, in terms of the Pratt´s figure of merit, both for noisy and noise-free input images.
  • Keywords
    Fourier transforms; Gaussian processes; edge detection; eigenvalues and eigenfunctions; frequency-domain analysis; image denoising; information filters; wavelet transforms; 2D Fourier transform; Laguerre-Gauss harmonics; edge detection; eigenfunction; frequency domain; noise-free input image; noisy image; steered elongated Hermite-Gauss wavelet; steering elongated Hermite-Gauss filter; Convolution; Fourier transforms; Harmonic analysis; Image edge detection; Noise; Polynomials; Wavelet transforms; Edge features; Fourier analysis; Steerable filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5648793
  • Filename
    5648793