• DocumentCode
    146797
  • Title

    Real time color image enhancement with a high regard for restoration of skin color by using Raspberry Pi

  • Author

    Sahani, Maneesh ; Rout, Susanta Kumar ; Sharan, Atul Kumar ; Dutta, Suparna

  • Author_Institution
    EEE Dept., Siksha O Anusadhan Univ., Bhubaneswar, India
  • fYear
    2014
  • fDate
    3-5 April 2014
  • Firstpage
    335
  • Lastpage
    339
  • Abstract
    Raspberry Pi is employed as a basic embedded system and being a low cost single-board computer, it has emerged to be immensely popular in recent times. This paper mainly deals with natural color of an image including human faces in HSI color space. In this kind of image, it is necessary to describe skin color accurately hence we go on to restore the image based on this criterion. Histogram equalization (HE) is a popular technique for contrast enhancement of images. In order to vary the enhancement degree to get proper skin color, HE with variable enhancement degree (HE-VED) is introduced. The enhancement degree of HE-VED is controlled by intensity and saturation parameter α and β respectively. Dark and low contrast images were captured using the Raspberry Pi camera module and HE-VED was applied to enhance the objective image in a particular enhancement degree automatically with help of Raspberry Pi. Lastly HE-VED was extended to a complete image and appreciable results were obtained which could be further enhanced using different pseudo coloring techniques.
  • Keywords
    cameras; image colour analysis; image enhancement; image restoration; HE-VED; HSI color space; Raspberry Pi camera module; basic embedded system; contrast enhancement; dark images; histogram equalization; human faces; intensity parameter; low contrast images; low cost single-board computer; natural color; objective image; pseudo coloring techniques; saturation parameter; skin color; variable enhancement degree; Histograms; Image color analysis; Open systems; Power supplies; Universal Serial Bus; HSI color space; Histogram equalization; Python image library; Raspberry Pi; Raspbian wheezy; skin color;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2014 International Conference on
  • Conference_Location
    Melmaruvathur
  • Print_ISBN
    978-1-4799-3357-0
  • Type

    conf

  • DOI
    10.1109/ICCSP.2014.6949857
  • Filename
    6949857