Title :
Fast vector median filter based on Euclidean norm approximation
Author :
Barni, M. ; Cappellini, V. ; Mecocci, A.
Author_Institution :
Dept. of Electron. Eng., Florence Univ., Italy
fDate :
6/1/1994 12:00:00 AM
Abstract :
The vector median filter has good filtering capabilities; nevertheless, its huge computational complexity significantly limits its practical usability. A vector median filter based on a fast approximation of the Euclidean norm is presented. The proposed algorithm couples computational and filtering effectiveness, and it is well suited for hardware implementation. Theoretical and experimental results regarding both approximation error and speed improvement prove the validity of the proposed algorithm.<>
Keywords :
approximation theory; computational complexity; digital filters; filtering and prediction theory; Euclidean norm approximation; approximation error; computational complexity; fast approximation; filtering; vector median filter; Approximation algorithms; Approximation error; Computational complexity; Filtering algorithms; Hardware; Optical devices; Optical filters; Signal processing algorithms; Usability; Vectors;
Journal_Title :
Signal Processing Letters, IEEE
