• DocumentCode
    3203198
  • Title

    Super-resolution algorithm using noise level adaptive dictionary

  • Author

    Jeong, Shin-Cheol ; Kang, Yeong-wook ; Song, Byung Cheol

  • Author_Institution
    Sch. of Electron. Eng., Inha Univ., Incheon, South Korea
  • fYear
    2010
  • fDate
    7-10 June 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    This paper presents a noise-robust super-resolution algorithm. In learning phase, a dictionary classified according to noise level is constructed, and then a high-resolution image is synthesized using the dictionary in the inference phase. Experimental results show that the proposed algorithm outperforms the existing algorithms even for noisy images.
  • Keywords
    image denoising; image resolution; inference mechanisms; learning (artificial intelligence); Adaptive Dictionary; high resolution image; inference phase; learning phase; noise; super-resolution algorithm; Consumer electronics; Decision support systems; Dictionaries; Noise level; dictionary; learning-based super-resolution; noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ISCE), 2010 IEEE 14th International Symposium on
  • Conference_Location
    Braunschweig
  • Print_ISBN
    978-1-4244-6671-9
  • Type

    conf

  • DOI
    10.1109/ISCE.2010.5523242
  • Filename
    5523242
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3203198