Title :
Adaptive Weighted Vector Median Filter using a gradient algorithm
Author :
Lucat, Laurent ; Siohan, Pierre
Author_Institution :
France Telecom CNET/DMR/DDH, Cesson-Sévigné, France
Abstract :
In this paper, a gradient based approach to adapt the parameters of the Weighted Vector Median Filter is presented. The validity of the method is inspected through a convergence test of the filter parameters and with results of noisy image filtering.
Keywords :
adaptive filters; gradient methods; image denoising; image filtering; median filters; adaptive weighted vector median filter; gradient algorithm; noisy image filtering; parameter filters; Convergence; Cost function; Filtering algorithms; Minimization; Noise; Noise measurement;
Conference_Titel :
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location :
Rhodes
Print_ISBN :
978-960-7620-06-4
