• DocumentCode
    2282788
  • Title

    Adaptive truncated Vector Median Filter

  • Author

    Smolka, Bogdan

  • Author_Institution
    Dept. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland
  • Volume
    4
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    261
  • Lastpage
    266
  • Abstract
    In the paper an effective noise reducing and edge enhancing filter for color image enhancement is presented. The proposed denoising technique is based on the concept of adaptively truncated vector median and its output is the color pixel which is centrally located in a cluster of most similar pixels belonging to the sliding filtering window. The important feature of the proposed deign is its ability to reduce impulsive noise, while sharpening the edges of objects depicted in the image. Therefore, the proposed filtering framework can be used in variety of applications in which simultaneous noise reduction and edge enhancement is required.
  • Keywords
    adaptive filters; image colour analysis; image denoising; image enhancement; impulse noise; median filters; adaptive truncated vector median filter; color image enhancement; color pixel; edge enhancing filter; edge sharpening; image denoising; impulsive noise; noise reducing filter; sliding filtering window; Color; Image color analysis; Image edge detection; Noise measurement; PSNR; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952847
  • Filename
    5952847