• DocumentCode
    557823
  • Title

    Optimal white-point setting for natural images considering content dependency

  • Author

    Qin, Shaoling ; Wang, Jinchan

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Hohai Univ., Nanjing, China
  • Volume
    4
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    1741
  • Lastpage
    1744
  • Abstract
    Image quality is one of the decisive factors for consumers when buying electronic display. White point is an important aspect affecting image quality evaluation. The paper investigated the preferred white-point setting for natural images considering content dependency. Images were generated by changing white-point from original image to different extent via image processing. The averaged preferred white point setting is close to previous research. In addition, the preferred white point settings are also investigated for desaturated images and blurred ones. The preferred white point for desaturated images is a little yellowish compared with those for original images. However, the preferred white point is not changed statistically when images are blurred.
  • Keywords
    image restoration; blurred image; content dependency; desaturated images; electronic display; image processing; image quality evaluation; natural images; optimal white-point setting; Birds; Dairy products; Dolphins; Educational institutions; Image color analysis; Image quality; Mobile communication; blurred images; desaturated images; perception experiment; white point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100560
  • Filename
    6100560