• DocumentCode
    568812
  • Title

    Significance level of image enhancement techniques for underwater images

  • Author

    bt. Shamsuddin, Norsila ; bt. Wan Ahmad, Wan Fatimah ; Baharudin, Baharum B. ; Kushairi, M. ; Rajuddin, M. ; bt. Mohd, Farahwahida

  • Author_Institution
    Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • Volume
    1
  • fYear
    2012
  • fDate
    12-14 June 2012
  • Firstpage
    490
  • Lastpage
    494
  • Abstract
    Underwater imaging is quite a challenging in the area of photography especially for low resolution and ordinary digital camera. There are a few problems occur in underwater images such as limited range visibility, low contrast, non uniform lighting, blurring, bright artefacts, color diminished and noise. This paper concentrates on color diminished. Significant application of standard computer vision techniques to underwater imaging is required in dealing with the said problems. Both manual and auto level techniques are used to record the mean values of the stretched histogram. The objective of the paper is to identify which technique is more significant in terms of color correction. It is hoped that the finding will benefit to non divers to visualize the underwater as the real underwater world.
  • Keywords
    computer vision; data visualisation; geophysical image processing; image colour analysis; image enhancement; image resolution; photography; autolevel techniques; color correction; color diminishing; image enhancement techniques; manual level techniques; ordinary digital camera; photography; real underwater world; standard computer vision techniques; stretched histogram; underwater images; Manuals; Sea measurements; Visualization; color diminished; computer vision; underwater imaging; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer & Information Science (ICCIS), 2012 International Conference on
  • Conference_Location
    Kuala Lumpeu
  • Print_ISBN
    978-1-4673-1937-9
  • Type

    conf

  • DOI
    10.1109/ICCISci.2012.6297295
  • Filename
    6297295