• DocumentCode
    1652682
  • Title

    Evaluation of color transfer and denoising methods for motion blur prevention

  • Author

    Ionascu, Ciprian ; Florea, Corneliu ; Florea, Laura

  • Author_Institution
    Image Process. & Anal. Lab., Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we address the problem of motion blur in still image acquisition by prevention and compensation. In the prevention step, we reduce the exposure time below “the motion limit” thus drastically diminishing the chance for the motion blur to happen. We compensate the poor illumination and colors levels by employing a color transfer process from a secondary normally exposed image of the same scene (which is most likely blurred). We further compensate the lower signal-to-noise ratio by means of single image denoise process. For each of the mentioned steps, we extensively evaluate several state of the art algorithms to select the optimal solution.
  • Keywords
    image colour analysis; image denoising; motion estimation; color transfer process; denoising methods; image acquisition; image denoise process; motion blur prevention; optimal solution; signal-to-noise ratio; Cameras; Histograms; Image color analysis; Measurement; Noise; Noise reduction; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems (ISSCS), 2015 International Symposium on
  • Conference_Location
    Iasi
  • Print_ISBN
    978-1-4673-7487-3
  • Type

    conf

  • DOI
    10.1109/ISSCS.2015.7203958
  • Filename
    7203958