• DocumentCode
    3271292
  • Title

    Dual-domain image denoising

  • Author

    Knaus, Claude ; Zwicker, Matthias

  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    440
  • Lastpage
    444
  • Abstract
    Image denoising methods have been implemented in both spatial and transform domains. Each domain has its advantages and shortcomings, which can be complemented by each other. State-of-the-art methods like block-matching 3D filtering (BM3D) therefore combine both domains. However, implementation of such methods is not trivial. We offer a hybrid method that is surprisingly easy to implement and yet rivals BM3D in quality.
  • Keywords
    Fourier transforms; filtering theory; image denoising; image matching; wavelet transforms; BM3D method; block-matching 3D filtering method; dual-domain image denoising; hybrid method; image quality; spatial domain; transform domain; Image denoising; Kernel; Noise; Noise measurement; Noise reduction; Wavelet transforms; bilateral filter; image denoising; short-time Fourier transform; wavelet shrinkage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738091
  • Filename
    6738091