Title :
A noise-filtering method using a local information measure
Author :
Beghdadi, Azeddine ; Khellaf, Abdallah
Author_Institution :
Lab. des Proprietes Mecaniques et Thermodynamiques des Materiaux, Univ. de Paris-Nord, Villetaneuse
fDate :
6/1/1997 12:00:00 AM
Abstract :
A nonlinear-noise filtering method for image processing, based on the entropy concept is developed and compared to the well-known median filter and to the center weighted median filter (CWM). The performance of the proposed method is evaluated through subjective and objective criteria. It is shown that this method performs better than the classical median for different types of noise and can perform better than the CWM filter in some cases
Keywords :
entropy; image enhancement; interference suppression; noise; nonlinear filters; smoothing methods; entropy concept; image enhancement; image processing; local information measure; median filter; noise smoothing; nonlinear-noise filtering method; objective criteria; subjective criteria; Cutoff frequency; Decorrelation; Entropy; Frequency domain analysis; Information filtering; Information filters; Noise level; Noise measurement; Signal design; Smoothing methods;
Journal_Title :
Image Processing, IEEE Transactions on
