Evaluation of Criterion Functions for the Fusion of Multi-focus Noisy Images

ASLANTAŞ V. , Kurban R.

IEEE 17th Signal Processing and Communications Applications Conference, Antalya, Turkey, 9 - 11 April 2009, pp.722-725 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.722-725


Digital images are distorted by impulsive noise (IN) which caused by image sensors and communication channels in many practical applications. This noise may cause miscalculation of sharpness values in image fusion applications. In this paper, traditional criterion functions and frequency selective median filter (FSWM) based criterion function are evaluated for the fusion of multi-focus images in the presence of IN. Experimental results show that the FSWM filter is better than the other focus measures.