• DocumentCode
    2824450
  • Title

    Low visual difference virtual high dynamic range image synthesizer from a single legacy image

  • Author

    Wang, Tsun-Hsien ; Chiu, Ching-Te

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    2265
  • Lastpage
    2268
  • Abstract
    New generations of display technologies provide signicantly improved dynamic range over conventional display devices. Current inverse tone mapping schemes require multiple exposure low dynamic range (LDR) images to generate high dynamic range (HDR) images. In this work, we propose an exposure dependent S curve to convert one optimized LDR image to multiple images with different brightness, which are then fused into a virtual real scene HDR image with wide dynamic range. According to our implementation results, the dynamic range can reach about 105. The synthesizer is robust and temporally coherent, and does not require image specific parameter adjustment. This paper also presents the image quality assessment with HDR visual difference predictor (HDR-VDP) and relative entropy contrast, and our work has better performance than other inverse tone mapping operators (iTMOs) for the both image quality assessments.
  • Keywords
    computer displays; entropy; image fusion; natural scenes; optimisation; virtual reality; HDR; LDR; S curve; VDP; display technology; entropy contrast; high dynamic range; image fusion; image quality assessment; image synthesizer; inverse tone mapping schemes; legacy image; low dynamic range; optimization; virtual real scene; visual difference predictor; Brightness; Conferences; Dynamic range; Entropy; Image quality; Visualization; High Dynamic Range (HDR); Inverse Tone Mapping; Low Dynamic Range (LDR); Visual Difference Predictor (VDP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116090
  • Filename
    6116090