• DocumentCode
    607602
  • Title

    Application of Adaptive Unsharp Masking technique to color images with optimum parameters selection

  • Author

    Jane, O. ; Ilk, H.G.

  • Author_Institution
    Turkiye Bilimsel ve Teknol. Arastirma Kurumu (TUBITAK), Ankara, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Image processing has been the focal point of considerable research activity in the last decade mainly because of its wide application areas. With the help of existing image enhancement technique, Adaptive Unsharp Masking (AUM), proposed optimum parameters selection procedure has significant effects in terms of sharpness and contrast adjustment in color images. The experimental results prove that AUM technique, which is applied to color images in this study, converges to a minimum mean square error as in the case of gray scale images.
  • Keywords
    image colour analysis; image enhancement; mean square error methods; AUM technique; adaptive unsharp masking technique; color image; contrast adjustment; gray scale image; image enhancement; image processing; image sharpness; minimum mean square error; optimum parameter selection; Adaptive filters; Color; Image enhancement; Mean square error methods; Reactive power; Sea surface; Surface treatment; Gauss-Newton Algorithm; adaptive filtering; image enhancement; minimum mean square error;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531185
  • Filename
    6531185