Title :
On the convergence and roots of order-statistics filters
Author :
Charif-Chefchaouni, Mohammed ; Schonfeld, Dan
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
fDate :
8/1/1995 12:00:00 AM
Abstract :
We propose a comprehensive theory of the convergence and characterization of roots of order-statistics filters. Conditions for the convergence of iterations of order-statistics filters are proposed. Criteria for the morphological characterization of roots of order-statistics filters are also proposed
Keywords :
convergence of numerical methods; filtering theory; iterative methods; mathematical morphology; signal processing; convergence; image processing; iterations; morphological characterization; order-statistics filters; roots; signal processing; Computational efficiency; Convergence; Filtering theory; Filters; Image converters; Image processing; Image restoration; Signal processing; Signal restoration; Statistics;
Journal_Title :
Signal Processing, IEEE Transactions on
