• DocumentCode
    3271260
  • Title

    Two-channel technique for high dynamic range image visualization

  • Author

    Capodiferro, L. ; Di Claudio, E.D. ; Iacolucci, F. ; Laurenti, A. ; Jacovitti, G.

  • Author_Institution
    Fondazione Ugo Bordoni, Roma, Italy
  • fYear
    2004
  • fDate
    14-16 July 2004
  • Firstpage
    269
  • Lastpage
    273
  • Abstract
    Advances in digital imaging technologies make increasingly available high quality images characterized by high dynamic range (HDR) of color components. Usual display devices are unable to visualize the information content of HDR images, especially in presence of light. For this reason special compression techniques for image rendering on conventional displays have been developed. In this work, a new technique based on simultaneous compression of low frequency radiance variations and detail enhancement is presented. In this work, a method working in the transform domain of an edge oriented wavelet transform is presented. Low-frequency components and high-resolution wavelet coefficients are separately manipulated before image reconstruction in order to reduce the overall dynamic range. The effectiveness of the technique is shown by means of significant examples.
  • Keywords
    brightness; data visualisation; image coding; image resolution; wavelet transforms; HDR images; color components; complex edge wavelet; digital imaging technologies; edge oriented wavelet transform; high dynamic range image visualization; high quality images; high-resolution wavelet coefficients; image reconstruction; image rendering; low frequency radiance variations; low-frequency components; range compression; two-channel technique; Digital images; Displays; Dynamic range; Frequency; Image coding; Rendering (computer graphics); Visualization; Wavelet coefficients; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation, 2004. IV 2004. Proceedings. Eighth International Conference on
  • ISSN
    1093-9547
  • Print_ISBN
    0-7695-2177-0
  • Type

    conf

  • DOI
    10.1109/IV.2004.1320156
  • Filename
    1320156