• DocumentCode
    3147940
  • Title

    Regularized optimization for joint super-resolution and high dynamic range image reconstruction in a perceptually uniform domain

  • Author

    Bengtsson, Tomas ; Gu, Irene Yu-Hua ; Viberg, Mats ; Lindström, Konstantin

  • Author_Institution
    Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    1097
  • Lastpage
    1100
  • Abstract
    This paper discusses resolution enhancement of a set of images with varying exposure durations, having a high combined dynamic range. So far, little has been said in relation to the Human Visual System when it comes to Super-Resolution and High Dynamic Range fusion, unlike the case for traditional Super-Resolution where errors are measured with respect to human perception in the pixel domain. We propose a Super-Resolution method in the L*a*b* domain to bridge that gap and present some image reconstruction results.
  • Keywords
    image enhancement; image reconstruction; image resolution; high dynamic range fusion; high dynamic range image reconstruction; human perception; human visual system; image resolution enhancement; joint super-resolution; perceptually uniform domain; pixel domain; regularized optimization; Dynamic range; Image edge detection; Image reconstruction; Signal resolution; Spatial resolution; Strontium; Dynamic Range; Human Visual System; Image Reconstruction; Regularization; Super-Resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288078
  • Filename
    6288078