• DocumentCode
    2940246
  • Title

    Content-adaptive inverse tone mapping

  • Author

    Pin-Hung Kuo ; Chi-Sun Tang ; Shao-Yi Chien

  • Author_Institution
    Grad. Inst. of Electron. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2012
  • fDate
    27-30 Nov. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Tone mapping is an important technique used for displaying high dynamic range (HDR) content on low dynamic range (LDR) devices. On the other hand, inverse tone mapping enables LDR content to appear with an HDR effect on HDR displays. The existing inverse tone mapping algorithms usually focus on enhancing the luminance in over-exposed regions with less (or even no) effort on the process of the wellexposed regions. In this paper, we propose an algorithm with not only enhancement in the over-exposed regions but also in the remaining well-exposed regions. This paper provides an ”histogram-based” method for inverse tone mapping. The proposed algorithm contains a content-adaptive inverse tone mapping operator, which has different responses with different scene characteristics. Scene classification is included in this algorithm to select the environment parameters. Lastly, enhancement of the over-exposed regions, which reconstructs the truncated information, is performed.
  • Keywords
    display devices; image classification; image enhancement; support vector machines; HDR content; HDR displays; HDR effect; LDR devices; content-adaptive inverse tone mapping operator; high dynamic range; histogram-based method; inverse tone mapping algorithms; low dynamic range; over-exposed regions; scene classification; Accuracy; Algorithm design and analysis; Dynamic range; Feature extraction; Image reconstruction; Robustness; Support vector machines; Inverse Tone Mapping; Scene Recognition; Support Vector Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2012 IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4405-0
  • Electronic_ISBN
    978-1-4673-4406-7
  • Type

    conf

  • DOI
    10.1109/VCIP.2012.6410798
  • Filename
    6410798