• DocumentCode
    3740918
  • Title

    Efficient image denoising scheme for removal of impulse noise

  • Author

    Li-Zhon Hou;Chien-Feng Kuo;Zhi-Hong Lin;Chu Yu

  • Author_Institution
    Department of Electronic Engineering, National Ilan University, Yilan, Taiwan
  • fYear
    2015
  • Firstpage
    298
  • Lastpage
    299
  • Abstract
    In the transmission, digital images often disturbed by various interferences, leading to the image corrupted severely. For the better visual quality and the further use in digital image processing systems, noises must be removed. In this study, the proposed scheme can efficiently remove fixed-valued and random-valued impulse noise sources while preserving image edges. It has better image quality than those of the conventional linear and non-linear filters. The proposed scheme also maintains the edge of the restoration image due to preserving image edge details. Because its procedure is simple, it is suited for real-time applications and hardware implementation.
  • Keywords
    "Noise measurement","Image edge detection","Image restoration","Noise reduction","Digital images","Digital filters","Maximum likelihood detection"
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (GCCE), 2015 IEEE 4th Global Conference on
  • Type

    conf

  • DOI
    10.1109/GCCE.2015.7398612
  • Filename
    7398612