• DocumentCode
    2394673
  • Title

    An improved adaptive image filter for edge and detail information preservation

  • Author

    Li, Taisheng ; Zhang, Xuan ; Li, Chongrong

  • Author_Institution
    Network Res. Center, Tsinghua Univ., Beijing, China
  • fYear
    2012
  • fDate
    19-20 May 2012
  • Firstpage
    1870
  • Lastpage
    1873
  • Abstract
    The mean filter can remove the Gaussian noise of an image, and the median filter can remove salt and pepper noise of an image. But two methods both result in some loss of image detail and edge information. In fact, image noise is often mixed, and filters above are not good at removing mixed noise. In this paper an improved adaptive image filter is proposed. According to compare the value of seed pixel and pixels in the neighborhood of seed pixel, the type of noise can be sentenced. Then the median filter can be used to reduce salt and pepper noise. The image edge and detail information can be preserved by the threshold when the mean filter is used to smooth the left pixels. The improved adaptive filter in this paper has combined advantages of the mean filter and the median filter. Experimental results show that the adaptive filter algorithm can effectively filter out both the Gaussian noise and salt and pepper noise of the image, and preserve the image edge and detail information.
  • Keywords
    Gaussian noise; adaptive filters; edge detection; image denoising; Gaussian noise; adaptive filter algorithm; adaptive image filter; detail information preservation; edge information preservation; image denoising; image detail; image noise; mean filter; median filter; mixed noise removal; salt and pepper noise; seed pixel; Adaptive filters; Filtering algorithms; Image edge detection; Information filters; Maximum likelihood detection; Noise; adaptive; edge preservation; image de-noising; noise detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2012 International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4673-0198-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2012.6223411
  • Filename
    6223411