• DocumentCode
    1997462
  • Title

    Fast Removal of Stripe Noise Based on Wavelet Decomposition

  • Author

    Jingwei Yang ; Sile Wang ; Wenzhu Yang

  • Author_Institution
    Dept. of Sci. & Technol., Hebei Univ., Baoding, China
  • fYear
    2013
  • fDate
    3-4 Dec. 2013
  • Firstpage
    195
  • Lastpage
    199
  • Abstract
    Vertical stripe noise, also called waterfall artifact, is generally occurred in the line scan images. It degrades the image quality and leads to object misrecognition. This paper presents a new approach for removal of vertical stripe noise using multi-resolution wavelet decomposition. The line scan image was firstly decomposed in highest L levels using wavelet decomposition. Then the vertical component in each decomposition level was discarded to remove the stripe noise. Finally, the destriped image was reconstructed from the L level processed components. The results indicate that the proposed approach can eliminate the stripe noise effectively from the polluted image.
  • Keywords
    image denoising; image reconstruction; image resolution; wavelet transforms; L-level processed components; destriped image reconstruction; image quality degradation; line scan image decomposition; multiresolution wavelet decomposition; object misrecognition; polluted image; vertical component discarding; vertical stripe noise removal; waterfall artifact; Filtering; Frequency-domain analysis; Noise; Smoothing methods; Wavelet domain; Wavelet transforms; Wavelet reconstruction; destriping; line scan image; stripe noise; wavelet decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2013 Fourth Global Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-2885-9
  • Type

    conf

  • DOI
    10.1109/GCIS.2013.37
  • Filename
    6805934