Nonlinear vector filtering for impulsive noise removal from color images

نویسندگان

  • M. Emre Celebi
  • Hassan A. Kingravi
  • Y. Alp Aslandogan
چکیده

bstract. A comprehensive survey of 48 filters for impulsive noise emoval from color images is presented. The filters are formulated sing a uniform notation and categorized into 8 families. The perforance of these filters is compared on a large set of images that over a variety of domains using three effectiveness and one effiiency criteria. In order to ensure a fair efficiency comparison, a fast nd accurate approximation for the inverse cosine function is introuced. In addition, commonly used distance measures (Minkowski, ngular, and directional-distance) are analyzed and evaluated. Fially, suggestions are provided on how to choose a filter given cerain requirements. © 2007 SPIE and IS&T. DOI: 10.1117/1.2772639

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عنوان ژورنال:
  • J. Electronic Imaging

دوره 16  شماره 

صفحات  -

تاریخ انتشار 2007