• DocumentCode
    2049274
  • Title

    On the Resolution Limits of Superimposed Projection

  • Author

    Damera-Venkata, Niranjan ; Chang, Nelson L.

  • Author_Institution
    Hewlett-Packard Labs, Palo Alto
  • Volume
    5
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    Multi-projector super-resolution is the dual of multi-camera super-resolution. The goal of projector super-resolution is to produce a high resolution frame via superimposition of multiple low resolution subframes. Prior work claims that it is impossible to improve resolution via superimposed projection except in specialized circumstances. Rigorous analysis has been previously restricted to the special case of uniform display sampling, which reduces the problem to a simple shift-invariant deblurring. To understand the true behavior of superimposed projection as an inverse of classical camera super-resolution, one must consider the effects of non-uniform displacements between component subframes. In this paper, we resolve two fundamental theoretical questions concerning resolution enhancement via superimposed projection. First, we show that it is possible to reproduce frequencies that are well beyond the Nyquist limit of any of the component subframes. Second, we show that nonuniform sampling and pixel reconstruction functions impose fundamental limits on achievable resolution.
  • Keywords
    computer displays; image resolution; image restoration; image sampling; video cameras; Nyquist limit; image display; multicamera super-resolution; multiple low resolution subframe; multiprojector super-resolution; pixel reconstruction function; simple shift-invariant deblurring; superimposed projection; uniform display sampling; Cameras; Displays; Frequency; High-resolution imaging; Image reconstruction; Image resolution; Image sampling; Pixel; Sampling methods; Signal resolution; alias cancellation; image display; non-uniform sampling; super-resolution; superimposed projection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379843
  • Filename
    4379843