Output Enhancement of Impulse Noise Filters by Edge Detection and Neuro-fuzzy Processing

Yüksel Y., ALÇI M. , YÜKSEL M. E.

1st KES International Symposium on Intelligent Decision Technologies, Himeji, Japan, 01 April 2009, vol.199, pp.329-339 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 199
  • Doi Number: 10.1007/978-3-642-00909-9_32
  • City: Himeji
  • Country: Japan
  • Page Numbers: pp.329-339


A simple method for enhancing the output images of impulse noise filters for digital images is presented. The method is based on an edge detector and a simple 3-input 1-output neuro-fuzzy network. The internal parameters of the neuro-fuzzy network are adaptively optimized by training. The training is easily accomplished by using simple artificial images generated in a computer. The method can be used with any type of impulse noise filters since its operation is completely independent of the filter. The proposed method is applied to four representative impulse noise filters from the literature under different noise conditions and image properties. Results indicate that the proposed method may efficiently be used with any type of impulse noise filters to effectively reduce its distortion effects and enhance its output.