• DocumentCode
    1715969
  • Title

    Hybrid algorithm for low contract image and image sequence enhancement

  • Author

    Fang Ming ; Du Junping ; Han Pengcheng ; Hu Qian ; Wang Chao

  • Author_Institution
    Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2013
  • Firstpage
    3776
  • Lastpage
    3780
  • Abstract
    In order to improve the visual quality of images and image sequence in low contrast, amplifying the difference of foreground target, a method based on the combination of non-linear luminance commutation and strengthened algorithm of improved Logarithmic Image Processing (LIP) and interframe light compensation is proposed. At first, low contrast images are classified as over-bright and over-dark. Then an improved non-linear luminance commutation method and improved self-adjusting LIP factor method are proposed separately, achieving a better effect in increasing contrast. To strengthen the vision effect of movement image in low contrast, further adjust of luminance is executed partially, according to movement image sequence with inter-frame correlation. Experiment result indicates that, this easy and rapid algorithm will not only guarantee better vision quality, but also provides great vision quality in RGB color space.
  • Keywords
    image colour analysis; image enhancement; image sequences; RGB color space; hybrid algorithm; image sequence enhancement; image visual quality; interframe light compensation; logarithmic image processing; low contract image; nonlinear luminance commutation; Educational institutions; Electronic mail; Histograms; Image color analysis; Image sequences; Manganese; high light; image sequence; long-scale contrast; low-light; video enhancement; video sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640077