• DocumentCode
    659373
  • Title

    Reconstructing Polarisation Components from Unpolarised Images

  • Author

    Lin Gu ; Cong Phuoc Huynh ; Robles-Kelly, Antonio

  • Author_Institution
    Res. Sch. of Eng., Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    2013
  • fDate
    26-28 Nov. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we develop a method for reconstruct- ing the polarisation components from unpolarised imagery. Our approach rests on a model of polarisation which accounts for reflection from rough surfaces illuminated at moderate and large angles of incidence. Departing from the microfacet structure of rough surfaces, we relate the maximal and minimal polarimetric intensities to the diffuse and specular components of an un-polarised image via the Fresnel reflection theory. This allows us to reconstruct the polarimetric components from a single unpolarised image. Thus, the model presented here provides a link between the microfacet structure and polarisation of light upon reflection from rough surfaces. We evaluate the accuracy of the reconstructed polarisation components and illustrate the utility of the method for the simulation of a polarising filter on real-world images.
  • Keywords
    image reconstruction; light polarisation; light reflection; Fresnel reflection theory; light polarisation; microfacet structure; polarimetric components reconstruction; rough surfaces; unpolarised imagery; Image reconstruction; Mathematical model; Optical surface waves; Refractive index; Rough surfaces; Surface roughness; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications (DICTA), 2013 International Conference on
  • Conference_Location
    Hobart, TAS
  • Type

    conf

  • DOI
    10.1109/DICTA.2013.6691518
  • Filename
    6691518