• DocumentCode
    2677793
  • Title

    An improved multi-frame integration technique for low light level image

  • Author

    Chen, Li ; Li, Yingfang ; Tian, Jingquan

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Changchun Univ., Changchun, China
  • Volume
    6
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    79
  • Lastpage
    81
  • Abstract
    Multi-frame integration is a common method used in the technique of image enhancement, but multi-frame cumulative method has a certain limitation for processing low light level image. In this paper an improved multi-frame integration technique based on the mode value theory is carried out, called mode multi-frame integration. Mathematical statistics is made on the grey scale values of all the corresponding pixels inside the neighborhood frames and the pixel grey value which appears with the maximum of probability is chosen as the filtering result. Therefore the processed image is much closer to the original one. The experimental results show that it can suppress the light and dark point´s noises of the low light level images effectively and the protection property of the image edges is better than that of multi-frame integration.
  • Keywords
    image denoising; image enhancement; image resolution; probability; statistics; grey scale values; image enhancement; improved multiframe integration technique; low light level image; mathematical statistics; mode value theory; multiframe cumulative method; pixel grey value; probability maximum; Image resolution; Pixel; denoising processing; low light level image; mode multi-frame integration; multi-frame integration; noises;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-7957-3
  • Type

    conf

  • DOI
    10.1109/CMCE.2010.5609911
  • Filename
    5609911