• DocumentCode
    1868616
  • Title

    High dynamic range simultaneous signal compositing, applied to audio

  • Author

    Janzen, Ryan ; Mann, Sebastian

  • Author_Institution
    Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2012
  • fDate
    April 29 2012-May 2 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    High Dynamic Range (HDR) compositing is well established in the field of image processing, where a sequence of differently-exposed images of the same scene are combined to overcome the limited dynamic range of ordinary cameras. We extend this technique to audio. Rather than acquiring samples separated by time or space, as is done in HDR image processing, we propose to perform simultaneous sampling of the same input signal, using differently-gained versions of the same HDR signal fed into separate analog to digital converters (ADCs). An HDR audio signal is thus sampled by merging a set of low dynamic range (LDR) samplings of the original HDR input signal. We optimize the choice of LDR input gains to achieve as high a dynamic range as possible for a desired sampling accuracy.
  • Keywords
    analogue-digital conversion; audio signal processing; signal sampling; HDR audio signal sampling; analog to digital converter; differently-exposed image sequence; differently-gained version; high dynamic range compositing; high dynamic range simultaneous signal compositing; image processing; low dynamic range sampling; Dynamic range; Gain; Gain control; Histograms; Probability density function; Quantization; Resource description framework; CDR audio; HDR audio; composited dynamic range (CDR); high dynamic range compositing; simultaneous HDR compositing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
  • Conference_Location
    Montreal, QC
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4673-1431-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2012.6334945
  • Filename
    6334945