Title :
Adaptive median based multi-shell-order-statistics filters for the removal of impulsive noise
Author :
Li, J. S Jimmy ; Ramsingh, Anand
Author_Institution :
Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
Abstract :
The multistage and multi-shell median filters have been shown to be effective in preserving fine image structures as well as in the suppression of noise. It has been shown that the multi-shell median filter can be modified to describe a set of median based multi-shell order-statistics filters, each with a different noise removal characteristic. In the paper, an adaptive median based multi-shell order-statistics filter is presented. The adaptive algorithm varies the statistical properties of the filter by updating the rank of the complementary order-statistics operators of each shell according to the input noise density. Its performance is compared to the standard 2D median and multistage median filters with favourable results
Keywords :
adaptive filters; filtering and prediction theory; image processing; statistical analysis; two-dimensional digital filters; adaptive median based multi-shell-order-statistics filter; complementary order-statistics operators; fine image structures; impulsive noise removal; input noise density; noise removal; rank; statistical properties; suppression of noise; Adaptive algorithm; Adaptive filters; Electric breakdown; Filtering; Noise measurement; Probability distribution; Structural shells;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344796
