Impulse noise cancellation of medical images using wavelet networks and median filters.
J Med Signals Sens
; 2(1): 25-37, 2012 Jan.
Article
in En
| MEDLINE
| ID: mdl-23493998
ABSTRACT
This paper presents a new two-stage approach to impulse noise removal for medical images based on wavelet network (WN). The first step is noise detection, in which the so-called gray-level difference and average background difference are considered as the inputs of a WN. Wavelet Network is used as a preprocessing for the second stage. The second step is removing impulse noise with a median filter. The wavelet network presented here is a fixed one without learning. Experimental results show that our method acts on impulse noise effectively, and at the same time preserves chromaticity and image details very well.
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Database:
MEDLINE
Language:
En
Year:
2012
Type:
Article