• DocumentCode
    247955
  • Title

    Global denoising is asymptotically optimal

  • Author

    Talebi, H. ; Milanfar, P.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California, Santa Cruz, Santa Cruz, CA, USA
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    818
  • Lastpage
    822
  • Abstract
    In this paper an upper bound on the decay rate of the mean-squared error for global image denoising is derived. As image size increases, this upper bound decays to zero; that is, the global denoising is asymptotically optimal. Unlike patch-based methods such as BM3D, this property only holds for global denoising schemes. In practice, and as demonstrated in this work, this performance gap between patch-based and global denoisers can grow rapidly with image size.
  • Keywords
    image denoising; BM3D; additive noise; decay rate; global denoising schemes; global image denoising; image size; Image denoising; Kernel; Matrix decomposition; Noise; Noise reduction; Symmetric matrices; Upper bound; Denoising Bound; Global Denoising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025164
  • Filename
    7025164
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=247955