PMID- 23493998
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20130318
LR  - 20211021
IS  - 2228-7477 (Print)
IS  - 2228-7477 (Electronic)
IS  - 2228-7477 (Linking)
VI  - 2
IP  - 1
DP  - 2012 Jan
TI  - Impulse noise cancellation of medical images using wavelet networks and median 
      filters.
PG  - 25-37
AB  - 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.
FAU - Sadri, Amir Reza
AU  - Sadri AR
AD  - Department of Electrical and Computer Engineering, Isfahan University of 
      Technology, Isfahan, Iran.
FAU - Zekri, Maryam
AU  - Zekri M
FAU - Sadri, Saeid
AU  - Sadri S
FAU - Gheissari, Niloofar
AU  - Gheissari N
LA  - eng
PT  - Journal Article
PL  - India
TA  - J Med Signals Sens
JT  - Journal of medical signals and sensors
JID - 101577416
PMC - PMC3592502
OTO - NOTNLM
OT  - Average background difference
OT  - gray-level difference
OT  - impulse noise
OT  - wavelet network
COIS- Conflict of Interest: None declared
EDAT- 2012/01/01 00:00
MHDA- 2012/01/01 00:01
PMCR- 2012/01/01
CRDT- 2013/03/16 06:00
PHST- 2012/01/05 00:00 [received]
PHST- 2012/01/17 00:00 [accepted]
PHST- 2013/03/16 06:00 [entrez]
PHST- 2012/01/01 00:00 [pubmed]
PHST- 2012/01/01 00:01 [medline]
PHST- 2012/01/01 00:00 [pmc-release]
AID - JMSS-2-25 [pii]
PST - ppublish
SO  - J Med Signals Sens. 2012 Jan;2(1):25-37.