• DocumentCode
    2467612
  • Title

    Selective noise removal method in low frequency region for fiber bundle-based endoscopy

  • Author

    Lee, Cheon Yang ; Han, Jae-Ho

  • Author_Institution
    Dept. of Brain & Cognitive Eng., Korea Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1109
  • Lastpage
    1111
  • Abstract
    This paper introduces the restoration method of degraded images distorted by inherent structure of fiber bundle. The criterion considered for the restoration is based on morphological processing and notch filter, removing the particular frequency, with auto peak detection. The proposed algorithm achieved effective removal of pixelated artifact such as regular honeycomb pattern by finding particular peaks in Fourier domain. As a series of procedure, we have found optimized parameter for decoupling the noise. Experimental results of contrast-to-noise ratio (CNR) demonstrate numerical enhancement from 3.9dB to 16.7dB. Our proposed method can also be expected to apply other periodic pattern noise.
  • Keywords
    Fourier analysis; endoscopes; image denoising; image restoration; medical image processing; notch filters; object detection; optical tomography; CNR; Fourier domain; auto peak detection; contrast-to-noise ratio; degraded image restoration method; fiber bundle-based endoscopy; fiber optic imaging; image distortion; low frequency region; morphological processing; noise decoupling; notch filter; numerical enhancement; optical coherence tomography; periodic pattern noise; pixelated artifact; regular honeycomb pattern; selective noise removal method; Biomedical optical imaging; Endoscopes; Noise; Optical fiber couplers; Optical fiber devices; endoscopic imaging; fiber optic imaging; image processing; optical coherence tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377879
  • Filename
    6377879