• DocumentCode
    1790395
  • Title

    Preferred scene evaluation based on experimental approach for the optimum parameters

  • Author

    Hyung Ju Park ; Seungwon Lee ; Dong Hwan Har

  • Author_Institution
    Digital/Sci. Imaging Lab., Chung-Ang Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    22-25 June 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In order to measure the parameters of consumers´ preferred image quality, this research suggests the following image quality assessment factors; dynamic range, color, and contrast. They have both physical image quality factors and psychological characteristics from the previous researches. For measuring the optimum parameter ranges of preferred images, we select 100 images from various websites by contents; portrait, landscape, and nightscape; therefore a total of 300 images are collected based on over 30 recommendations by appreciators. We try to expect the generality from user´s recommendations and the diversity of contents from different scenes on the web. We discovered the specific ranges of preferred image quality metrics. Throughout this research, we are able to measure the preferred image quality metrics ranges. Also, we expect the practical and specific dynamic range, color, and contrast information of preferred image quality to positively influence product development.
  • Keywords
    customer satisfaction; image colour analysis; image texture; color information; consumer preferred image quality metrics; contrast information; dynamic range information; experimental approach; image quality assessment factors; landscape images; nightscape images; optimum parameters; physical image quality factors; portrait images; preferred scene evaluation; product development; psychological characteristics; Field-flow fractionation; color; contrast; dynamic range; image quality; parameter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
  • Conference_Location
    JeJu Island
  • Type

    conf

  • DOI
    10.1109/ISCE.2014.6884420
  • Filename
    6884420