Reconstructing polarisation components from unpolarised images

Lin Gu, Cong Phuoc Huynh, Antonio Robles-Kelly

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    In this paper, we develop a method for reconstructing 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.

    Original languageEnglish
    Title of host publication2013 International Conference on Digital Image Computing
    Subtitle of host publicationTechniques and Applications, DICTA 2013
    DOIs
    Publication statusPublished - 2013
    Event2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013 - Hobart, TAS, Australia
    Duration: 26 Nov 201328 Nov 2013

    Publication series

    Name2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013

    Conference

    Conference2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013
    Country/TerritoryAustralia
    CityHobart, TAS
    Period26/11/1328/11/13

    Fingerprint

    Dive into the research topics of 'Reconstructing polarisation components from unpolarised images'. Together they form a unique fingerprint.

    Cite this