• DocumentCode
    249984
  • Title

    A practical method for measuring the spatial frequency response of light field cameras

  • Author

    Firmenich, Damien ; Baboulaz, Loic ; Susstrunk, Sabine

  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    5776
  • Lastpage
    5780
  • Abstract
    The spatial frequency response (SFR) is one of the most important and unbiased image quality measures of a digital camera. It evaluates to which extent a lens/sensor combination can resolve scene details. In this paper, we propose a simple and practical method to measure the SFR of microlens-based light field cameras. The particularity of such cameras resides in their ability to capture both spatial and angular information of the incoming light field thanks to an array of microlenses located in front of the sensor. Existing methods for measuring the SFR of conventional cameras are thus no longer applicable as the interaction between the main lens and the micro-lenses results in different resolving powers over the image plane that depend on the scene depths. By using a 3-dimensional target made of vertical lines printed on an inclined planar surface, we are able to measure the SFR across multiple depths in a single exposure. Our method allows SFR measurements from the raw light field itself as captured by the camera, and is thus independent of subsequent post-processing algorithms such as image reconstruction, digital refocusing or depth estimation. Our experimental results are consistent with theoretical bounds and reproducible.
  • Keywords
    cameras; frequency response; image resolution; microlenses; 3-dimensional target; SFR measurements; inclined planar surface; light field cameras; microlens; resolution floor; spatial frequency response measurement; Cameras; Image edge detection; Lenses; Microoptics; Modulation; Spatial resolution; Computational photography; Light field; Modulation transfer function; Plenoptic cameras; Spatial frequency response;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7026168
  • Filename
    7026168