Title :
Two-dimensional recursive filtering algorithm with edge preserving properties and reduced numerical complexity
Author :
Concetti, A. ; Jetto, L.
Author_Institution :
Dipt. di Elettronica e Autom., Ancona Univ., Italy
fDate :
7/1/1997 12:00:00 AM
Abstract :
The filtering problem for noisy nonhomogeneous images is considered. A semicausal recursive filter with edge information is proposed. The filter is obtained as a combination of a one-dimensional (1-D) fixed-interval smoother and of a 1-D Kalman predictor, and involves a modest computational burden. Experimental results show the effectiveness of the new filtering scheme
Keywords :
Kalman filters; edge detection; image representation; recursive filters; two-dimensional digital filters; 1D Kalman predictor; 1D fixed-interval smoother; computational burden; edge preserving properties; noisy nonhomogeneous images; numerical complexity; semicausal recursive filter; two-dimensional recursive filtering algorithm; Filtering algorithms; Image processing; Information filtering; Information filters; Kalman filters; Noise reduction; Pixel; Signal processing; Stochastic processes; Strips;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
