A noise-filtering method using a local information measure

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 t...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on image processing 1997-06, Vol.6 (6), p.879-882
Main Authors: Beghdadi, A., Khellaf, A.
Format: Article
Language:English
Subjects:
Applied sciences
Cutoff frequency
Decorrelation
Entropy
Exact sciences and technology
Frequency domain analysis
Image processing
Information filtering
Information filters
Information, signal and communications theory
Noise level
Noise measurement
Signal design
Signal processing
Smoothing methods
Telecommunications and information theory
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.585237