• DocumentCode
    730268
  • Title

    Dual-exposure image registration for HDR processing

  • Author

    Bouzaraa, Fahd ; Urfalioglu, Onay ; Cordara, Giovanni

  • Author_Institution
    Tech. Univ. Munchen, Munich, Germany
  • fYear
    2015
  • fDate
    19-24 April 2015
  • Firstpage
    1553
  • Lastpage
    1557
  • Abstract
    In this paper we present a method for registering a pair of differently exposed Low Dynamic Range (LDR) images for the purpose of rendering a High Dynamic Range (HDR) image. In general, the images are captured from a moving camera and/or contain moving objects. Therefore, proper registration is required to enable HDR rendering. However, even for equally exposed images, registration is an ill posed problem where errors are expected for a wide range of image pairs. The problem only becomes more challenging for a pair of differently exposed images. We propose an adaptive registration error detection and correction method to address this issue. By combining Optical Flow with the proposed correction method, we achieve state-of-the art results as shown in numerous experiments. The proposed method is simple and has low-complexity, hence allowing for an easy and efficient implementation.
  • Keywords
    error detection; image capture; image motion analysis; image registration; HDR image; LDR images; correction method; error detection; high dynamic range image; image capture; image registration; low dynamic range images; moving camera; moving objects; Adaptive optics; Cameras; Computer vision; Dynamic range; Image motion analysis; Optical distortion; Optical imaging; HDR; Image Registration; Optical Flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Conference_Location
    South Brisbane, QLD
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7178231
  • Filename
    7178231