• DocumentCode
    149126
  • Title

    Rate distortion optimized tone curve for high dynamic range compression

  • Author

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

  • Author_Institution
    INRIA, Rennes, France
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    1612
  • Lastpage
    1616
  • Abstract
    In this paper, we define a reversible tone mapping-operator (TMO) for efficient compression of High Dynamic Range (HDR) images using a Low Dynamic Range (LDR) encoder. In our compression scheme, the HDR image is tone mapped and encoded. The inverse tone curve is also encoded, so that the decoder can reconstruct the HDR image from the LDR version. Based on a statistical model of the encoder error and assumptions on the rate of the encoded LDR image, we find a closed form solution for the optimal tone curve with respect to the rate and the mean square error (MSE) of the reconstructed HDR image. It is shown that the proposed method gives superior compression performance compared to existing tone mapping operators.
  • Keywords
    data compression; decoding; image coding; image reconstruction; mean square error methods; rate distortion theory; statistical analysis; HDR image compression; HDR image reconstruction; LDR encoder; MSE; TMO; high dynamic range image compression; inverse tone curve; low dynamic range encoder; mean square error; rate distortion optimized tone curve; reversible tone mapping-operator; statistical model; Bit rate; Dynamic range; Image coding; Image reconstruction; Mathematical model; Rate-distortion; Standards; Companding; Gaussian Mixture Model (GMM); HEVC; High Dynamic Range (HDR); Tone Mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
  • Conference_Location
    Lisbon
  • Type

    conf

  • Filename
    6952582