• DocumentCode
    180288
  • Title

    Adaptive re-quantization for high dynamic range video compression

  • Author

    Le Pendu, Mikael ; Guillemot, Christine ; Thoreau, Dominique

  • Author_Institution
    INRIA, Rennes, France
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    7367
  • Lastpage
    7371
  • Abstract
    High Dynamic Range (HDR) images contain more intensity levels than traditional image formats. Instead of 8 or 10 bit integers, floating point values are generally used to represent the pixel data. To extend the use of existing video codecs such as HEVC to HDR floating point video sequences, we propose a method that converts the floating point data and reduces the bit depth of input images with minimal loss. Several variants of the method are proposed. They are adapted to different quality requirements. In particular, near lossless compression is addressed.
  • Keywords
    data compression; image sequences; quantisation (signal); video codecs; video coding; HDR floating point video sequences; HEVC; adaptive requantization; floating point data; high dynamic range images; high dynamic range video compression; near lossless compression; video codecs; Dynamic range; Encoding; Image coding; PSNR; Quantization (signal); Transforms; Video coding; Floating point; HEVC; High Dynamic Range (HDR); OpenExr; Re-quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6855031
  • Filename
    6855031