• DocumentCode
    598006
  • Title

    Perceptually lossless High Dynamic Range image compression with JPEG 2000

  • Author

    Yang Zhang ; Reinhard, E. ; Bull, David R.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Bristol, Bristol, UK
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    1057
  • Lastpage
    1060
  • Abstract
    High Dynamic Range (HDR) technology offers high levels of immersion with a dynamic range meeting and exceeding that of the Human Visual System (HVS). A primary drawback of HDR images and video is that memory and bandwidth requirements are significantly higher than for conventional images and video. Many bits can be wasted coding redundant imperceptible information. The challenge is therefore to develop means for efficiently compressing HDR imagery to a manageable bit rate without compromising perceptual quality. In this paper, an HDR image compression method, based on an HVS optimized wavelet subband weighting method is proposed. The method has been fully integrated into a JPEG 2000 codec. Experimental results indicate that the proposed method outperforms previous approaches and operates in accordance with characteristics of the HVS, tested objectively using a HDR Visible Difference Predictor (VDP).
  • Keywords
    codecs; data compression; image coding; wavelet transforms; HDR images; HDR video; HVS optimized wavelet subband weighting method; JPEG 2000 codec; VDP; bandwidth requirements; bit rate; dynamic range meeting; human visual system; memory requirements; perceptually lossless high dynamic range image compression; visible difference predictor; Discrete wavelet transforms; Dynamic range; Image coding; Imaging; Transform coding; Wavelet packets; High Dynamic Range Imaging; Human Visual System; JPEG 2000; Visually Lossless Coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467045
  • Filename
    6467045