• DocumentCode
    3345829
  • Title

    Sparse natural image statistics and their applications to colorization and compression

  • Author

    Balinsky, Alexander ; Mohammad, Nassir

  • Author_Institution
    Sch. of Math., Cardiff Univ., Cardiff, UK
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1661
  • Lastpage
    1664
  • Abstract
    Statistical analysis of natural luminance and colour images have shown to display non-Gaussian distributions. We review a recent result on the non-linear sparse filter response distribution observed in, and illustrate its application to the problem of colorizing natural gray images. We further utilise elements of both image statistics and colorization for compression of the chromacity channels of image data.
  • Keywords
    data compression; image coding; image colour analysis; statistical analysis; chromacity channels; colour images; display non-Gaussian distributions; image colorization; image data; image statistics; natural gray images; natural luminance; non-linear sparse filter response distribution; statistical analysis; Compressed sensing; Image coding; Image color analysis; Image reconstruction; Minimization; Optimization; Pixel; L1 optimisation; Natural images; colorization; compression; compressive sensing; filter response; sparse distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5652168
  • Filename
    5652168
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3345829